The HONOR Magic8 Pro serves as the brand’s newest flagship phone, succeeding the Magic7 Pro launched back in January. Ahead of its local debut, the company has given us the opportunity to get acquainted with the device. The model in my hands is the Sunrise Gold version, although the smartphone also comes in Sky Cyan […] The post HONOR Magic8 Pro Hands On: A Bit Of An Acquired Taste appeared first on Lowyat.NET.  ( 41 min )

As previously reported, Honor is officially launching the Magic8 Pro today. In addition to the launch, the brand is also bundling an Insta360 Ace Pro action camera with every purchase of the phone, while stocks last. Running through the specs, the Magic8 Pro features a 6.71-inch LTPO OLED display, with a peak brightness of 6,000 […] The post Honor Magic8 Pro Officially Launches In Malaysia; Retails From RM4,599 appeared first on Lowyat.NET.  ( 35 min )

Samsung Malaysia officially unveiled the QN90F today, marking the official arrival of the massive TV to our shores. And by massive, it measures in at 115-inches across the wall. Now, the QN90F does ship out with an 8K panel, but the model that was on display was only 4K. To that end, this model is […] The post Samsung Officially Brings 115-Inch QN90F Neo QLED TV To Malaysia appeared first on Lowyat.NET.  ( 34 min )

Chinese regulators have barred ByteDance from using NVIDIA chips in new data centres, according to a report by The Information. This ban highlights the nation’s push to move away from relying on US technology. Such efforts have intensified following the US government’s move to tighten restrictions on exports to China. Compared to other Chinese companies, […] The post China Reportedly Bans ByteDance From Using NVIDIA Chips appeared first on Lowyat.NET.  ( 33 min )

iCAUR Malaysia has officially introduced its second model, the V23, to the local market. First previewed in October, the fully electric off-road SUV will be available in two variants: a rear-wheel-drive (2WD) and an intelligent all-wheel-drive (iWD). Design-wise, the V23 features a bold, upright stance and a boxy profile. The front end is defined by […] The post iCAUR V23 Officially Launches In Malaysia; Starts From RM119,800 appeared first on Lowyat.NET.  ( 38 min )

WhatsApp has confirmed a major policy shift that will block the use of any non-Meta AI chatbot inside the messaging app starting 15 January 2026. The updated terms of service explicitly prohibit third-party AI assistants, meaning users will no longer be able to access ChatGPT, Microsoft Copilot or similar services through WhatsApp once the cutoff […] The post WhatsApp To Ban Third-Party AI Chatbots From January 2026 appeared first on Lowyat.NET.  ( 34 min )

Sarawak is poised to draw the attention of the regional animation and digital gaming industry next year. In this coming August, the state will be hosting the Borneo Animation and Gaming Festival (BAGF). According to Digital Minister Gobind Singh Deo, Sarawak Premier Tan Sri Abang Johari Tun Openg has agreed to the establishment of a […] The post Sarawak To Become Regional Animation And Gaming Hub With New Festival appeared first on Lowyat.NET.  ( 33 min )

Footwear and video gaming collaborations are nothing new. The results of these tie-ins are often incredible, while others are… questionable. But for Singapore-based designer Gustavo Bonzanini, he has decided to take this combination of popular culture to an entirely new level. Enter the AIR SNES, a passion project by Bonzanini to celebrate the 35th anniversary […] The post Fan Project Turns A Classic Nike Sneaker Into A Fully Working Super Nintendo Console appeared first on Lowyat.NET.  ( 34 min )

Intro I have been fooling around a lot with ai recently, and I thought I would write something about what I've been doing. There are a few things that I've been doing, and they're all fascinating. Writing average looking code using minimum viable prompts. Getting this average looking code refactored to be a robust service. Generating API documentation - and having Claude fix this code. This is part two of a small series that I have created to walk through the process I went through to get decent code. I had a crazy idea. I thought to myself, let's write something that will go through my git repos and automagially update my dockerfiles so that the dockerfile uses a fixed but more recent version of the base image. In my first post, I looked at the codebase, which frankly was very average,…  ( 18 min )

Le secteur technologique africain connaît une croissance rapide, avec une génération de développeurs talentueux, créatifs et exposés aux outils les plus modernes. Pourtant, un paradoxe persiste : les pratiques de recrutement restent ancrées dans des approches obsolètes qui ne reflètent ni la réalité du métier ni les exigences de l’innovation. 1. Un héritage de méthodes scolaires mal adaptées au numérique Dans de nombreux pays africains, et particulièrement au Cameroun, les entreprises recrutent encore les développeurs comme on recruterait des enseignants d’histoire. citer le nom exact d’une méthode standard, écrire la syntaxe d’un commentaire multi-ligne, se souvenir de la fonction qui retourne le dernier élément d’un tableau, recopier du code sur papier. Mais un développeur moderne ne t…  ( 8 min )

This article was originally published on AiSecurityDIR.com. Visit the original for the complete guide with all diagrams and resources. Agentic AI is transforming how organizations operate—but AI systems that can take autonomous actions introduce a fundamentally new category of security risk. When agents have more permissions, capabilities, or independence than they need, you're facing excessive agency. In this article, you'll learn what excessive agency means, why it's different from other AI risks, and how autonomous agents can cause serious harm even without malicious intent. Most importantly, you'll get a practical five-layer defense framework to set safe boundaries for your AI agents. This guide is for security leaders, AI engineers, and operations teams responsible for deploying or ma…  ( 13 min )

Over the past year, the conversation around AI inside enterprises has shifted. Teams are no longer asking whether AI can help with individual tasks—they're asking how AI can act on their behalf, move work forward, and make decisions without constant supervision. This is where agentic AI comes in. Agentic AI refers to systems that can observe what's happening, reason about the situation, take action, and learn from the outcome. Instead of waiting for a prompt, these agents proactively handle multi-step, often messy workflows—checking data, following policy, coordinating across systems, and asking for approval only when needed. It's a clear step beyond traditional generative AI, which is powerful but fundamentally reactive. For developers, this is your moment. While enterprises care about r…  ( 7 min )

Bill Simmons, Chris Ryan, and Cousin Sal fire up their Monday-night parlay by revisiting the 2005 sports-betting thriller Two for the Money, starring Matthew McConaughey, Al Pacino, and Rene Russo. They dive into the film’s high-stakes wagering scenes, debate what makes it tick, and share the timestamps so you can jump right to the action. After hashing out the most rewatchable moment, the trio rounds off the episode with a playful rundown of their signature “Rewatchables” categories. Produced by Craig Horlbeck, Chia Hao Tat, and Eduardo Ocampo, the show also gives shout-outs to Subaru’s Share the Love® Event and State Farm—plus plenty of links to subscribe and connect with The Ringer’s universe. Watch on YouTube  ( 6 min )

CinemaSins just unleashed their “Everything Wrong With KPop Demon Hunters in 16 Minutes or Less,” tearing into every plot hole, cringe moment, and demon-slaying trope with their signature snark. They’ve even lined up a sinful poll, Patreon perks, and shout-outs to their crack team of writers (Jeremy, Chris, Aaron, Jonathan, Deneé, Ian, Daniel) for anyone who wants more behind-the-scenes chaos. Hungry for extra sinning? Hit up cinemasins.com, binge their spin-off channels (@TVSins, @CommercialSins), hop into Discord or Reddit, and follow them on Instagram and TikTok. And if you can’t get enough film roasting, check out Jeremy’s new book for the ultimate cheat sheet. Watch on YouTube  ( 6 min )

Everything Wrong With Mission: Impossible – Dead Reckoning Part Two CinemaSins just unleashed their “final reckoning” on MI7, squeezing every nitpick into a brisk sub-27-minute roast. They’re still big fans of Ethan Hunt’s high-octane stunts, but confess this installment might’ve lost a bit of that impossible magic. Between the witty jabs, they plug their website, social channels, a “sinful” poll and Patreon—perfect for anyone who can’t get enough of pop-culture nitpicking. Watch on YouTube  ( 6 min )

Microsoft has disabled Basic authentication for most Exchange Online protocols. Microsoft has documented the requirements and configuration steps to use OAuth with POP/IMAP in Microsoft 365 in this article: Authenticate an IMAP, POP or SMTP connection using OAuth | Microsoft Docs. You’ll see details about the registration of the required Azure AD applications and the permissions required for the access token to give Exchange Online the authorization of the mailbox access request. OAuth 2.0 Authentication Microsoft 365 (formerly Office 365) supports two kinds of OAuth 2.0 authentication: Delegated authentication is suitable for desktop, mobile or web applications with signed-in user present. SETUP OAUTH Configuring Microsoft 365 Register your application In Azure Portal ⇒ expand…  ( 8 min )

The landscape of AI-assisted development has evolved rapidly, moving from simple code completion to fully integrated "agentic" environments. The latest entrant to this competitive space is Google Antigravity, a public preview release that promises to redefine how developers interact with their IDEs. Antigravity offers a familiar VS Code-like interface but introduces a sophisticated "Agent Manager" designed to spawn, coordinate, and test autonomous coding tasks. At the heart of this system lies a diverse selection of large language models (LLMs). The core engine driving Google Antigravity is the Gemini 3 Pro model, which is available in two distinct configurations: "High" and "Low." This tiered approach allows developers to balance computational cost and speed against reasoning depth, dep…  ( 7 min )

Mark Arel @ AWS Hong Kong Community Day 2025 The event is organized by volunteers of AWS users, with a committee preparing for the last three months. English is the official language, but Cantonese wordings will be used. The event is co-organized by AWS User Group Hong Kong and Hong Kong IIT HIT. There are 17 sessions with 21 speakers from eight different countries. This is the first community-driven semi-official AWS event in Hong Kong. Over 700 registrations have been received. The event relies on premium sponsors, and Mark, head of professional services in Hong Kong, will give a few words. The AWS user group community is special because it's community-led and made up of people passionate about AWS. There are over 700 registrations for the event, representing a big and thriving community. Throughout the day, there will be 17 different sessions led by expert AWS users and leaders. Attendees will have the opportunity to learn, network, and get inspired for innovation. The event is different from AWS training and certification as it allows learning from peers and colleagues. AWS is customer-obsessed and values events like this where customers can share knowledge and insights. The event encourages embracing change and using technology like generative AI to transform roles and increase efficiency. The success of the event relies on the participation of all attendees, sponsors, speakers, and co-organizers. The goal is to make this inaugural AWS user group community day in Hong Kong a memorable event filled with knowledge, innovation, and inspiration.  ( 7 min )

Lahiru Ratnayaka @ AWS Hong Kong Community Day 2025 Building Next-Generation Agent Applications on AWS Use Case: Cafe Manager Agent Cafe Manager Agent: Built using Crew AI framework. Tools: Connected APIs with OpenAPI specification. Scenario: Custom base (customer) communicates with the cafe manager agent to request items like cappuccino or long black coffee. Distributed Agent: Another agent (e.g., vendor agent) communicates with the cafe manager agent to get information or place orders. Frameworks: Cafe manager agent uses Crew AI, while the distributed agent uses Autogen. Identity Provider: Custom base uses Okta as the identity provider. Tools: APIs are not hosted on AWS Lambda but follow OpenAPI specification. AWS Support for Agentic Applications Agent Core Service: A comp…  ( 11 min )

The tokenization of real-world assets is steadily becoming an important part of modern finance. Institutions, fintech firms, and DeFi platforms are bringing treasury bills, real estate, credit products, and other financial instruments onto blockchain networks. This shift is not happening overnight, but the progress is consistent and meaningful. Behind this growth are two essential components that keep these markets organized and accessible. Stable coins give participants a reliable way to move value on-chain. On-chain identity helps platforms follow regulatory requirements while protecting user trust. Together they create a strong and practical foundation for the RWA ecosystem. The idea of tokenizing real-world assets works best when the supporting infrastructure is dependable. Stable coins and on-chain identity provide that dependability. Each one plays a separate role, yet both work together to create a balanced and efficient market environment. Their combined strengths help make tokenized assets easier to use, easier to manage, and easier to integrate with traditional financial systems. • Smooth transactions with verified users • Transfers restricted to approved participants • Automatic compliance through smart contracts • Consistent user experiences across regions • A strong base for long-term market growth This partnership allows RWA platforms to expand with clarity and trust. Stable coins provide global liquidity, and on-chain identity ensures regulatory alignment. The result is a stable and accessible environment that supports responsible growth. Together they reduce complexity, support transparency, and strengthen the entire ecosystem. Stable coins deliver efficient and predictable transactions. On-chain identity provides secure and compliant participation. Their combined role helps drive confidence, sustainability, and long-term success in the advancing RWA market.  ( 8 min )

Carson Chan & Angelo Mao @ AWS Hong Kong Community Day 2025 RA and MCP in Agentic Architectures: Focus of the Session: Discussion on Retrieval-Augmented (RA) and Multi-Chain Processing (MCP), two traditional techniques in the agentic world. Emphasis on what matters in agentic architectures and how to boost agent performance. Key Points: Agent Orchestration: Agents are orchestrated by models, making the model crucial. Model Evolution: The evolution of logical thinking and capabilities in models is primarily driven by model providers unless custom training is undertaken. External System Connectivity: Agents' ability to connect with external systems and perform accurately is vital. Retrieval-Augmented (RA): Definition: RA allows Large Language Models (LLMs) to access custom knowle…  ( 11 min )

For a long time, product documentation sat inside static sites, Git repos, and config-heavy setups. That was fine when teams were small and releases were slow. But today, products ship continuously, teams work across time zones, and customers expect answers instantly. Documentation needs to move with the same speed and that’s where no-code documentation platforms have become game changers. These tools remove the technical overhead that used to slow teams down. Instead of fighting build errors or learning a publishing workflow, writers and engineers can focus on capturing product knowledge clearly and quickly. 1. They make documentation easier for everyone to create Teams write more and write better when the process feels simple. No-code platforms remove nearly all friction, letting anyo…  ( 10 min )

House-hunting can get messy very quickly. You visit several places in one afternoon, collect brochures that all look the same, and scribble notes that eventually get lost or smudged. By the time you get home, the details start blending together. It becomes hard to remember: which one had the damp bathroom which one you actually liked and which one you ruled out but forgot why For years, I wished there was one simple tool that helped me keep everything organised — notes, photos, impressions, and reminders — all in a clean flow. Nothing existed, so I kept making do with paper, my camera roll, and memory. The frustration was real, and because I’m solving my own problem, I understand the user’s pain points deeply. The app must: Get the latest open homes from real estate's website for the weekend (TradeMe New Zealand) open instantly work offline inside houses with bad reception save notes without lag store photos and impressions together sync automatically when I’m back home Once these product constraints were solid, the technology naturally followed. A lightweight Node.js backend provides clean APIs. Offline-first storage like SQLite or Supabase solves the spotty reception issue. A simple folder structure keeps the project maintainable. And a sync layer ensures everything stays consistent across devices. What makes this project meaningful is that I’ve needed this app for a long time. I’ve had so many Saturdays where I thought, “Why doesn’t something like this exist already?” Now that I’m learning more about mobile and backend development, I can finally build the tool I’ve always wanted. It may not be perfect yet. It may take time. And I’m learning as I go. But it feels incredibly empowering to create something that solves a real frustration in my daily life. This is why I enjoy mobile development so much - it is very rewarding to solve a real life problem, as well as carry it in your pocket!! :)  ( 7 min )

Intro I decided to write this article after a year and a half of actively using AWS CloudFormation across two separate products. Because it’s less popular than Terraform, finding solutions to some problems often meant piecing together hints from different sources. Here I’ll share my experience in the hope that it helps someone else solve their CloudFormation challenges. A large part of this article is code. It’s mainly a note for myself in the future, so I can remember how I used AWS CloudFormation if I need to work with it again. When you work with CloudFormation, there are some key differences from Terraform. For example: there’s no automatic drift remediation, deployments are all-or-nothing (no partial apply), you can’t deploy to multiple regions in one go, and stack policies have th…  ( 9 min )

Retrieval-Augmented Generation (RAG) is now foundational for context-aware enterprise AI, powering customer support, internal knowledge systems, and compliance workflows with grounded, up-to-date responses. While over 60% of organizations are building retrieval solutions, most struggle to translate prototypes into production-grade reliability. This guide breaks down the RAG architecture, the critical evaluation metrics that correlate with trustworthy outputs, and the operational best practices needed to scale—plus how Maxim’s platform streamlines experimentation, evaluation, and observability across the RAG lifecycle. Start exploring with Get started free or book a walkthrough via Book a demo. See all capabilities on Features and implementation guidance in Docs. RAG augments a language mod…  ( 9 min )

Then vs. Now Five years ago, analysts relied on endless video hours and physical notebooks to convince managers of their insights. Today, before an analyst finishes their morning coffee, AI has already analyzed opponents, quantified pressing triggers, and predicted scorelines. The Rise of Predictive Engines While legacy providers like Opta gave us data, new platforms like FootballAnt, Predicd, and Aiscout tell machines to predict the game. FootballAnt is probably the clearest example. Before every Champions League and major league fixture, the platform now feeds 200+ data points per team (pressing intensity, progressive pass clusters, goalkeeper sweep angles, even weather-adjusted expected threat) into its AI engine. Thirty seconds later it returns predicted scoreline. The New Role: "AI Translator" The industry has shifted from data collection to interpretation . Modern analysts now spend 70% of their time on: Translation: Converting AI insights into language managers trust. Deception Detection: Spotting when teams hide tactical patterns. Application: Designing drills that fix specific weaknesses. The Bottom Line AI did not kill the analyst; it automated the repetitive data recording . The best analysts of 2025 aren't those who watch the most minutes, but those who understand the context the machine missed.  ( 6 min )

Building an application that accepts user content is a standard requirement today. Whether you are running a classroom management tool or a print-on-demand shop, you need to accept files. However, accepting a file in your file uploader is only half the battle. The real challenge lies in making sure that file is actually usable and safe before it enters your system. This is where we move beyond simple uploads and start looking at intelligent automation. Key Takeaways Automate Quality Control Workflows serve as an intelligent filter that standardizes, scans, and fixes files before they ever touch your main database. Keep Your App Fast By offloading heavy tasks like virus scanning or video transcoding to a background process, your user interface remains snappy and responsive. Webhooks…  ( 9 min )

A comprehensive guide to understanding and defending against the most sophisticated cyber attacks. In the of cybersecurity, we’ve built sophisticated firewalls, implemented multi-factor authentication, and deployed advanced threat detection systems. Yet, despite these technological fortresses, 95% of security breaches still involve human error** (IBM Security Report). The reason? Social engineering attacks that bypass our technical defenses by targeting the one element that can’t be patched: human psychology. After delivering lightning talks on this critical topic to enthusiastic audiences, I’ve realized that understanding social engineering isn’t just important for IT professionals—it’s essential for everyone in our increasingly digital world. Social engineering is the psychological mani…  ( 10 min )

Setting: Fitzroy café. Afternoon sun. Coffee that tastes like punishment. JAMES: Supreet, hiring in Melbourne is a nightmare. Everyone wants “top engineers,” no one can find them. And when they do, the person quits in six months for a 20k bump. I’ve never seen the market this thin. SUPREET: Yeah, I’m hearing the same from clients. And honestly—this isn’t new to me. I lived a version of this in Indonesia back in 2015. JAMES: What happened there? SUPREET: We were trying to build a cloud team for a client. AWS was taking off, but Jakarta didn’t have many cloud engineers. Maybe ten people in the whole market who had touched EC2. Singapore companies were paying double. Local companies couldn’t compete. JAMES: Sounds familiar already. SUPREET: Exactly. So instead of chasing unicorns, we changed …  ( 8 min )

Most enterprises have moved beyond experimentation with AI—adoption is broad, but only a minority see enterprise-level financial impact. The gap between promising pilots and production scalability is driven by architecture, data, governance, and operating model challenges. This guide explains how to scale AI agents in production with modular architectures, comprehensive observability, and cost-aware orchestration—so teams can achieve measurable ROI with Maxim. Start building now with Get started free or see the platform firsthand via Book a demo. AI agents reason across multi-step workflows, call external tools and APIs, retain context, and operate in changing environments. Compared to deterministic software, agents introduce variability, token and latency costs, and governance requirement…  ( 8 min )

8 Best CAD Software Computer-Aided Design (CAD) software has become an essential tool across industries ranging from product design and architecture to engineering and manufacturing. Whether you’re creating precise mechanical components, drafting architectural layouts, or preparing models for 3D printing, choosing the right CAD platform can dramatically affect your workflow, productivity, and final results. Today’s CAD landscape is rich and diverse, with options tailored to different levels of expertise, budgets, and project requirements. Some tools are cloud-based and collaboration-focused, others are engineering powerhouses used in aerospace and automotive industries, while some aim to make 3D modeling more accessible to hobbyists and students. In this article, we highlight eight of the …  ( 9 min )

When you're designing in Figma, the right plugins can dramatically speed up your workflow, boost consistency, and help you prototype faster. Whether you're a beginner or a seasoned product designer, these plugins will level up your UI/UX game. Below is a curated list of the best Figma plugins every designer should know, along with what makes them essential. Auto Layout Magic A must-have for designers who work heavily with Figma’s Auto Layout. This plugin helps you apply clean, consistent layouts instantly and fix messy auto-layout layers with one click. Why it’s great: Cleans up auto-layout issues Saves tons of time when dealing with responsiveness Great for handoff consistency 2. Contrast Accessibility is non-negotiable. Contrast checks your text and background col…  ( 7 min )

A Service in Kubernetes is an object that provides a stable IP address, DNS name, and consistent network access to a group of Pods. Because Pods are temporary — they die, restart, or get new IPs — a Service makes sure that: ✔ Applications can find and talk to Pods reliably ✔ Network traffic is load-balanced across Pods ✔ The communication remains stable even if Pods change Why Services Exist Pods are not permanent: Their IPs keep changing Pods come and go during scaling New Pods replace old Pods during deployments Without Services, apps would have no stable way to reach Pods. A Service hides Pod changes behind a fixed, reliable endpoint. What a Service Provides 🔹 Stable ClusterIP A virtual IP that does NOT change. DNS name Example: myapp.default.svc.cluster.local Load balancing Traffic is automatically distributed to healthy Pods. Service Discovery Apps always know how to find each other. How Services Work Internally A Service selects Pods using labels: selector: app: myapp Then Kubernetes creates: Endpoints/EndpointSlices = list of Pod IPs behind the Service Rules in kube-proxy (iptables/ipvs) to route traffic When you access the Service IP → kube-proxy forwards the request to one of the matching Pods. One-Line Interview Definition A Service in Kubernetes is a stable networking endpoint that provides consistent access, load balancing, and discovery to a dynamic group of Pods.  ( 7 min )

Chatbots have become an essential part of modern business communication. Whether it's answering customer questions, guiding online shoppers, or generating new leads, chatbots help companies save time and improve efficiency. But not all chatbots work the same way. Some follow fixed flows, some understand natural language, and some learn from user behavior. In this guide, we’ll break down the main types of chatbots in simple language and share how DGTL Tech Hub builds these solutions for different industries. A chatbot is a software program that interacts with users through text or voice. It can answer questions, provide solutions, show products, and even help users complete tasks. With advanced technology, chatbots have become smarter and more interactive than ever before. Businesses acros…  ( 8 min )

Stock Screeners for Math People: Build Your Own A stock screener is just a function. You don't need Wall Street, a fancy terminal, or YouTube. If you know high school math and Python, you can build your own screener that is transparent, tuned to your portfolio, and changeable as your ideas evolve. At its core, a stock screener is a mathematical filter function: Screener(stock)={TRUEif stock passes your rules FALSEotherwise \text{Screener}(\text{stock}) = \begin{cases} \text{TRUE} & \text{if stock passes your rules} \ \text{FALSE} & \text{otherwise} \end{cases} Screener(stock)={TRUE​if stock passes your rules FALSE​otherwise​ You have a universe of N stocks, each with data: Input=S1,S2,…,SN,Si=Pi(t),Vi(t),Fi \text{Input} = {S_1, S_2, \ldots, S_N}, \quad S_i = {P_i(t), V_i(t), F_i} Inpu…  ( 13 min )

Code Structure . ├── azure-pipelines.yml # Azure DevOps CI/CD pipeline ├── main │ ├── main.tf # Module orchestration │ ├── provider.tf # Azure provider configuration │ ├── terraform.tfvars # Input variable values │ └── variable.tf # Module variables ├── modules │ ├── 01_resource_group # Resource Group creation │ ├── 02_storage_account # Storage Accounts │ ├── 03_storage_container # Storage Containers │ ├── 04-Public_IP # Public IP │ ├── 05_Virtual_Net # VNet & Subnets │ ├── 06_sql_server # Azure SQL Server │ ├── 07_sql_database # Azure SQL Database │ ├── 08_net…  ( 7 min )

If you’ve ever done any web scraping, you know how annoying it is to parse HTML: finding parents of elements, navigating through a web of xml tags, hoping CSS selectors don’t change over time and break everything. However, on Shopify - one of the largest and most useful repositories of product data - contains a trick that allows us to bypass this process entirely, leaving us with beautiful JSON right out the gate. I recently built Sillage, a fragrance drop tracker that scrapes dozens of Shopify /products.json Every Shopify store exposes a secret endpoint: /products.json. For perspective, I invite you to click on some links (promise they’re safe) This is a website that sells niche perfumes in the spirit of animals (Cow, Penguin, T-rex…) This first link is their direct home page https://w…  ( 10 min )

🧠 First: What is a Namespace in Linux? A namespace in Linux is a boundary or an isolation mechanism. It decides what a process is allowed to see on the system. Think of it like: A private room inside a house. Containers rely heavily on Linux namespaces. Types of Linux Namespaces Some key ones used by containers: Namespace What it isolates Example NET Network Each container gets its own virtual network stack PID Processes Each container sees only its own processes IPC Inter-process communication Shared memory, semaphores UTS Hostname Each container can have its own hostname MNT Filesystems Each container has its own root filesystem Kubernetes Pods mainly use NETWORK + IPC + UTS namespaces. Now: What is a Shared Namespace in a Pod? A Pod is NOT a contain…  ( 7 min )

Project-Based Learning With 3D Design and Printing: Transforming Classrooms Through Creative Making Education has shifted from passive learning to active, hands-on engagement. Among the most transformative tools accelerating this shift is 3D design and printing, which brings abstract ideas to life and empowers students to become creators rather than mere consumers. When combined with Project-Based Learning, a framework where students gain knowledge and skills by working on meaningful, real-world projects, 3D printing opens a world of exploration, problem-solving, and innovation. This article highlights ten powerful 3D design and printing projects, each paired with its educational benefit and a clear example project. Together, they illustrate how 3D-printed learning experiences build creati…  ( 10 min )

If you often need to convert PNG images (screenshots, UI designs, scans, etc.) into PDF documents, pngtopdf.io offers a lightweight, fast, cross-platform solution. 🧠 Why Do We Need a PNG → PDF Tool? You need to combine multiple images into a single document. A website/company/school only accepts PDF uploads, not images. You want fewer files — PDF = one clean report, instead of 10–50 PNGs. No installation required — works completely in the browser Free & watermark-free Batch processing — merge multiple PNGs into one PDF Mobile-friendly — works on desktop, tablet, or phone High-quality output — no unnecessary compression Simple workflow — drag → convert → download Compared to desktop software or heavy client tools, a lightweight web-based converter is faster, cleaner, and accessible anywher…  ( 10 min )

Government employees serve as the indispensable core for delivering essential public services, upholding critical policies, and ensuring that the complex needs of citizens are met effectively and efficiently. In today’s increasingly dynamic and complex global environment, the intricate challenges faced by public servants demand far more than just theoretical knowledge—they necessitate practical, hands-on experience that proactively prepares them to handle real-world scenarios, particularly those characterized by high pressure and ambiguity. This imperative for practical readiness has paved the way for business simulations—a cutting-edge, proven solution that is fundamentally transforming government training programs worldwide. Crisis Management and Emergency Response Governmental agencies …  ( 9 min )

How I Started When I started my journey with web development, after some weeks I kept hearing about "requests" and "responses." Wait! What is a request? What is a response? Why does HTTP exist, and why is it called HTTP? I hate pretending to understand something. Therefore, I decided to build my own HTTP server—or at least pretend to :). Eventually, I got to the core idea: HTTP is just Hypertext Transfer Protocol—basically a set of rules for transferring data. But what really mattered was understanding that HTTP is built on top of TCP(Transmission Control Protocol), which I'll explain below. So, I started building my own http-server-ts. I asked my friend who had built his own server, and I was genuinely impressed. When I asked him how I could learn all this stuff related to web developme…  ( 10 min )

Everyone's talking about Google's Gemini 3.0, but the real opportunity isn't model vs model—it’s how UI understanding will reshape your daily work. Most teams will wait for the press release. The smart ones will run small pilots inside tools they already use. Here’s the play that actually works ↓ Debates about AI supremacy miss the point. What matters is time to value in real workflows. If an AI can read screens, understand buttons, and learn from short videos, you get stacked gains. Those gains spread across support, ops, sales, and product. For example, imagine onboarding that watches a 3-minute demo and builds a step-by-step checklist from your UI. A support rep could review a screen recording, suggest next clicks, and draft a reply in seconds. In a two-week test, you could aim for 20–30% faster closes and fewer escalations by measuring time, clicks, and accuracy. ↓ Pilot playbook to test now • Pick one workflow with a clear start and finish. • Capture 5–10 real sessions as short videos and screenshots. • Define success before you start: time saved, clicks reduced, accuracy. • Run side-by-side for two weeks: human-only vs AI-assisted. ↳ Document what the AI gets wrong, then simplify prompts or the UI. → Share one clip and one metric with leadership. ⚡ You’ll quickly notice fewer clicks, faster cycles, and cleaner handoffs. ⚡ Leaders get clearer reports, reps get fewer tabs, customers get faster answers. The model matters, but the workflow is the hero. What’s stopping you from piloting this in the next 14 days?  ( 6 min )

Zona Rural com Geração Solar: Como Migrar para Mercado Livre em 2025 Se você mora na zona rural, já instalou painéis solares e está cansado de pagar tarifas altas pela concessionária tradicional, tenho uma notícia que pode transformar seu orçamento: em 2025, as portas do mercado livre de energia estão se abrindo de formas nunca vistas antes. Mas migrar para o mercado livre com geração solar em propriedades rurais envolve mais do que simplesmente instalar painéis. Existem caminhos diferentes, regulamentações específicas e oportunidades que a maioria dos produtores rurais ainda desconhece. Neste guia prático, vou mostrar exatamente como você pode aproveitar sua geração solar para economizar até 40% na conta de luz — e ainda ajudar o planeta. Os números falam por si. Ao final de 2024, a pro…  ( 12 min )

AI Spots Trouble Before Traffic Does: Preventing Urban Gridlock with Smart Vision \Imagine a city where traffic jams vanish almost as soon as they appear. No more endless queues, no more wasted time, just smooth, efficient movement. What if AI could predict and prevent traffic disasters before they happen? We've developed a novel technique to identify critical infrastructure anomalies in real-time using a hybrid AI approach. This involves processing video feeds with a two-stage system: first, extracting key visual features; second, using a specialized neural network to rapidly classify the situation as normal or anomalous. Think of it like a doctor immediately spotting a subtle change in a patient's EKG that a human might miss until a full-blown heart attack occurs. The crucial innovatio…  ( 7 min )

What’s Changing in Dart Sass 3.0 The Sass team announced that Dart Sass 3.0 will arrive no earlier than two years after version 1.80.0. When it ships, several features will be removed completely: @import → Removed. Replaced by @use and @forward. Global built-in functions (e.g. map-get, nth, call) → Removed. You must import functions from the relevant module (sass:map, sass:list, etc.). Legacy global color functions → Replaced by namespaced versions from sass:color. Right now these features still work, but trigger deprecation warnings. With 3.0 they will fail with errors. @import, Hello @use Dart Sass is moving forward. The next major release, Dart Sass 3.0, will remove long-deprecated features such as the @import rule and global functions like map-get. If your stylesheets still dep…  ( 7 min )

There are chapters in Scripture that comfort us, chapters that challenge us, and chapters that feel like they take a lamp and shine it directly into the deepest corners of the human heart. Gospel of John Chapter 9 does more than that. It doesn’t just illuminate—it exposes. It reveals. It unwraps layers of pride, doubt, legalism, fear, and misplaced certainty. It asks questions we avoid. It brings our assumptions to the surface. It confronts us gently and directly all at once. This chapter is one of those rare places in the Bible where the miracle itself seems almost secondary because the meaning behind it is so piercing. Jesus heals a man blind from birth—but the real miracle in this story isn’t just the restoration of physical sight. It’s the revelation of spiritual blindness in the peopl…  ( 11 min )

A Useless Machine does one thing: when you turn it on, a mechanical paw reaches out and flips the switch back off. Useless, but fun. Let's build one in Elixir! To save us some code, and to give our Useless Machine object permanence, we'll define it as a reactive durable workflow using Journey. To play with this, you'll want to have Elixir 1.18 or 1.19, Docker (if you want to run your postgres database in a docker container), and some familiarity with Elixir. If you use asdf, here is the .tool-versions file I used for this exercise: $ cat .tool-versions erlang 27.1.2 elixir 1.19.1-otp-27 The source code for this exercise is available at https://github.com/markmark206/useless_machine If you want to just start playing with Useless Machine, not implement it, just clone the repo, follow its se…  ( 9 min )

Daily Tech News Roundup Stay up-to-date with the latest happenings in the tech world. Today's roundup covers everything from early Black Friday deals and Apple's potential sales dominance to controversies surrounding AI and streaming content. Let's dive in! The Best Apple Watch to Buy With Black Friday approaching, finding the right Apple Watch can be overwhelming. The Verge highlights the best Apple Watch models for different needs and budgets, making your decision easier. Get ready to track your fitness and stay connected. Source Early Black Friday Deals on TVs, Laptops, and More Beat the rush and snag incredible deals before Black Friday officially arrives. Retailers are already offering significant discounts on popular tech items like TVs, laptops, and Apple AirPods. Now is the time to…  ( 7 min )

When I first started learning C++, I felt lost in a sea of syntax, pointers, and manual memory management. The language seemed powerful yet daunting. But over time, I found resources that transformed my confusion into confidence. Today, I want to share the 7 best resources to learn C++ that helped me — and can help you — master this complex language efficiently. “C++ Primer” by Stanley B. Lippman (Book) One of my earliest breakthroughs came after struggling with vague online tutorials for weeks. Then I picked up C++ Primer — and everything clicked. Why this book? Comprehensive coverage from the basics to advanced topics. Clear explanations on C++11/14/17 features. Real-world example code that illustrates concepts. Exercises that reinforce what you read. Pro tip: Don’t just read—code alon…  ( 8 min )

Originally published at https://www.nocobase.com/en/blog/weekly-updates-20251127 Summarize the weekly product update logs, and the latest releases can be checked on our blog. NocoBase is currently updated with three branches: main , next and develop. main：The most stable version to date, recommended for installation; next：Beta version, contains upcoming new features and has been preliminarily tested. There might be some known or unknown issues. It's mainly for test users to collect feedback and optimize functions further. Ideal for test users who want to experience new features early and give feedback; develop：Alpha version, contains the latest feature code, may be incomplete or unstable, mainly for internal dev and rapid iteration. Suited for tech users interested in product's cutting-ed…  ( 13 min )

You've probably heard the term "Agentic AI" thrown around in tech circles, boardrooms, and LinkedIn feeds. But what does it actually mean? And more importantly, why should you care? In this comprehensive guide, we'll break down everything you need to know about Agentic AI—from the basics to real-world applications—in clear, jargon-free language. Non-Agentic AI vs. Agentic AI What Makes AI "Agentic"? Real-World Examples Why Agentic AI Matters Now The Key Principle: Autonomy with Governance Getting Started with Agentic AI The Future: From AI That Assists to AI That Acts What We're Building at Flytebit Read more here!  ( 6 min )

Governance refers to the framework of principles, policies, and processes that determine how your organization's cloud resources are administered, kept secure, and optimized. It is the structure necessary to ensure that the environment aligns with your business objectives, security requirements, and compliance obligations. Effective governance is not about stifling innovation. It is establishing guardrails to enable teams to move fast, yet in compliance with organizational standards. Consider it as setting the rules of the highway to ensure safe and efficient transportation, not building roadblocks. Governance without FinOps leads to control without clarity Governance in the cloud ensures control, security, compliance, and accountability. FinOps ensures financial visibility, cost ownership, and optimization. In cloud environments, the cost is not only a finance issue, but it's a governance issue. Governance without FinOps is incomplete. What Happens Without FinOps Teams over spend with no accountability Budgets blow up unexpectedly Business units bypass policies for faster delivery Finance cannot track or justify cloud spending Leadership loses visibility into ROI How FinOps Strengthens Cloud Governance Compulsory tagging policies for allocation This will cost guardrails e.g.) budget alerts, quota limits. Chargeback / showback for accountability Rightsizing and waste cleanup frameworks Data-driven spending decisions Cloud governance sets the rules. Cloud governance sets the rules — FinOps ensures those rules deliver business value  ( 8 min )

The Control Plane is the “Brain” of Kubernetes. It makes all the decisions in the cluster: What should run? Where should it run? What to do if something breaks? How many replicas should exist? Which node should get which pod? The Control Plane is responsible for managing the entire cluster, while Worker Nodes simply follow its instructions. Why Was the Control Plane Created? Without a central “brain,” you would have chaos: No one decides which node runs which pod No one restarts pods when they crash No one performs scaling No one stores the desired state No communication between nodes Kubernetes needed a central orchestrator. → That is the Control Plane. Control Plane = 5 Main Components 📌 1. API Server (kube-apiserver) etcd Scheduler (kube-scheduler) Controller Manager (kube-co…  ( 7 min )

When building infrastructure in Azure, high availability is non-negotiable. One of the fundamental tools for achieving this within a single datacenter is the Availability Set. In this post, we’ll break down how Availability Sets work, the math behind Fault and Update domains, and the critical constraints you need to know. What is an Availability Set? This distribution is crucial because it protects your applications from two specific types of disruptions: Planned Maintenance Events: Handled by Update Domains. Unplanned Hardware Failures: Handled by Fault Domains. The Core Components: Fault vs. Update Domains Fault Domains (FD) What they are: A Fault Domain represents a group of VMs that share common physical hardware, specifically a power source and a network switch (think of it as a physi…  ( 8 min )

My Process When writing my technical blogs, I have a very rigid process I like to follow. Research the topic I am interested in Create a structured research roadmap I require to gain knowledge about the particular topic Go through the roadmap and try to learn/research the concepts as in-depth as I can Start coding whatever the relevant implementation for that topic is Finally, start writing the blog But one thing always bugs me, "Is my blog factually correct and have I compromised the integrity of my blog anywhere?". That leads me to frantically go through my sources repeatedly and asking tools like Perplexity about the blog. So, I had the idea to automate this process by a creating a Peer Review System. 1. What the System Focuses On It behaves like a technical editor, not just a gra…  ( 8 min )

As a tool enthusiast, I spend countless hours hunting for software that can shave seconds off a task or spark new ideas. Today, I’m sharing 6 incredible tools—from powerful developer environments to aesthetic design utilities—that deserve a spot in your digital toolkit. Let’s dive in. ServBay: The Local Dev Powerhouse Best for: Full-stack developers and AI hobbyists. Setting up a local dev environment used to be a headache of version conflicts. ServBay changes the game. It allows you to install and run multiple versions of PHP, Node.js, Java, Go, and Rust simultaneously. It comes pre-packed with essential databases (MySQL, PostgreSQL, Redis, etc.). Why it stands out: Notion: The AI-Connected Workspace You likely know Notion, but have you used it as an AI-powered second brain? It is t…  ( 7 min )

Original Korean article Cloud Native and microservices have gained significant attention, leading to the emergence of similar architectural patterns in the frontend space. Micro Frontend (MFE) is at the forefront of this movement, and we're increasingly seeing attempts to adopt this architecture. What exactly is MFE, and in which situations is it suitable? A micro frontend is an architectural pattern for web development, where independently developed frontends are composed into a greater whole. - wikipedia MFE is a frontend architecture that enables independently developed applications to be accessed through a single domain. This structure allows frontend teams responsible for each service to establish autonomous development environments, enabling development without going through complex …  ( 12 min )

1. Given a list of strings, print them in uppercase in alphabetical order. 2. Given a list of strings, print them in uppercase by the length of each element. 3. Given a list of strings, remove null or empty strings from the list. 4. Given a list of nums, square each number in the list. 5. Given a list of nums, find the largest number in the list. Explanation: Use max with natural ordering. Solution (Java): Optional max = nums.stream().max(Integer::compareTo); int largest = max.orElseThrow(() -> new NoSuchElementException("List empty"));  ( 6 min )

Timothy stared at a configuration system he'd been reading. "Margaret, I understand decorators on functions now, but this codebase has decorators on entire classes. How does that even work?" Margaret walked over. "Class decorators are powerful - they can add attributes, modify methods, or register the class in a system. What are you looking at?" Timothy pointed at his screen. "This registration system. Every class has a decorator that seems to modify it and register it automatically. But I don't understand how a decorator can transform a whole class." Margaret pulled up a simplified example. "Before class decorators, you'd have to manually register each class after defining it." class DataValidator: def validate(self, data): return len(data) > 0 class EmailValidator: def v…  ( 9 min )

‘Two for the Money’ gets the full Rewatchables treatment as Bill Simmons, Chris Ryan, and Cousin Sal fire up their favorite Monday night parlay. Together they dive into the 2005 sports thriller starring Matthew McConaughey, Al Pacino, and Rene Russo, breaking down the film’s high-stakes betting drama and dissecting how well it holds up two decades later. Along the way they reveal their Most Rewatchable Scene picks, battle it out in the signature “Categories” round, and sprinkle in all the usual pop-culture riffs. Plus, they give a shout-out to Subaru’s Share the Love® Event and remind you that a good State Farm agent is always there when you need coverage. Watch on YouTube  ( 6 min )

Everything Wrong With KPop Demon Hunters In 16 Minutes Or Less is CinemaSins’ latest rapid-fire roast of the demon-slaying, dance-driven spectacle you never knew you needed. Expect all the signature snarky commentary as they tally up every outrageous trope and plot twist. Want more sinful goodness? Swing by their website or Linktree, vote in the poll, back them on Patreon, or join the chat on Discord. Follow writers Jeremy, Chris, Aaron, Jonathan, Deneé, Ian and Daniel across Twitter, Reddit, Instagram and TikTok for your daily dose of cinematic cynicism. Watch on YouTube  ( 6 min )

TL;DR CinemaSins just dropped their “Everything Wrong With Mission: Impossible – The Final Reckoning In 27 Minutes Or Less,” poking fun at Tom Cruise’s latest death-defying stunts while confessing the franchise has maybe lost a bit of its mojo. Expect the classic snark, rapid-fire sins, and a fond-but-critical take on how the series wrapped up. They also plug their main site (cinemasins.com), YouTube spin-offs (TVSins, Commercial Sins, CinemaSins Podcast Network), a sinful poll, Patreon support, and social hangouts—Discord, Reddit, TikTok, Instagram—and even showcase their writer squad’s Twitter and Instagram handles for those who love behind-the-scenes nerd chatter. Watch on YouTube  ( 6 min )

** ** *List: * Key Features: ArrayList: ✅ Key Features: ✅ When to Use: ✅ Important Points to Remember: ✅ One-Line Summary: ArrayList = Fast access + Dynamic Array + Allows duplicates & nulls + Not thread-safe  ( 6 min )

The Context: Why I Started This Journey After 7+ years as a Software Testing Lead, I've spent countless hours ensuring code quality, writing test cases, and building robust testing frameworks. But as AI systems started becoming ubiquitous in production environments, I found myself asking: "How do we test AI models with the same rigor we test traditional software?" I approached this learning exercise by building two versions of LLM evaluation pipelines, each teaching me different aspects of the evaluation process. Dataset: 50 physics questions in .jsonl format LLM Outputs: 50 hardcoded responses (simulating pre-generated outputs) Evaluation Model: Azure OpenAI Metric Used: Answer Relevancy Results: 28/50 passed (56% pass rate) ⚠️ Dataset: 5 Olympics trivia questions LLM: DeepSeek-R1 8B (r…  ( 10 min )

In the contemporary digital ecosystem, data is the lifeblood of strategic decision-making. The fundamental act to import data is the initial, critical step in transforming raw, often disparate information into a cohesive and actionable asset. Whether it's sales figures from a CSV file, customer feedback from an online survey, or real-time sensor readings from IoT devices, the ability to seamlessly import data into a centralized system like a database, data warehouse, or analytics platform is what unlocks its potential. This process moves data from its source into a target environment where it can be cleaned, analyzed, and visualized. For businesses, this is not merely a technical task but a core operational necessity. It enables organizations to move beyond gut feelings and operate on evid…  ( 9 min )

If you’ve glanced at the Dev.to leaderboard this week, you couldn't miss the name dominating the charts: Nano Banana Pro. Just yesterday, tutorials for this model swept through the community. Everyone isn't just talking about "another image generator"; they are talking about a paradigm shift: From "Random Generation" to "Reasoned Creation." In late 2025, the bar has been raised. Developers and creators are done with "gacha-style" prompting where you roll the dice and hope for the best. We need precision, perfect text rendering, and a visual engine that actually understands logic. This is exactly what Textideo and its integrated Nano Banana Pro model are solving. According to deep-dive reviews on Dev.to and official metrics from Textideo, Nano Banana Pro is a phenomenon because it fixes t…  ( 7 min )

What is the difference between fail-fast and fail-safe iterators? ● Fail-fast (like in ArrayList, HashMap) throw ConcurrentModificationException if the collection is modified while iterating. 🔹 2. Why does HashMap key need equals() and hashCode() methods? 🔹3. What happens if two keys have the same hash code in a HashMap? 🔹 4. Can we insert null in a HashSet or HashMap? 🔹 5. How does HashMap handle rehashing? 🔹 6. What’s the difference between ArrayList and LinkedList in terms of performance? 🔹 7. How does TreeMap maintain sorting? 🔹 8. What is the difference between Collection and Collections? 🔹 9. What is the difference between HashMap and ConcurrentHashMap? 🔹 10. Why compareTo() and equals() must be consistent in sorted collections like TreeSet or TreeMap? Because if compareTo() says two objects are equal but equals() disagrees, it can break contract — leading to missing or duplicate elements in sorted collections.  ( 7 min )

The fear isn’t abstract. It’s statistical. The market is oversupplied with engineers whose output is indistinguishable from an autocomplete model. The 2025 economy measures developers by throughput per dollar, and most can’t survive that math. The collapse is already visible: The fear comes from watching career moats evaporate: • Tool familiarity is worthless when interfaces abstract the tool. The panic spikes when developers realize the new selection pressure: 2025 forces a binary outcome: The Developer Extinction Line: Why 2025 Will Delete Half the Industry Without Warning Post: The collapse is already visible: The fear comes from watching career moats evaporate: • Tool familiarity is worthless when interfaces abstract the tool. The panic spikes when developers realize the new selection pressure: Either your output creates more output, or your role shrinks until it disappears.  ( 7 min )

In a recent job working with Java and Spring Boot, I found myself second-guessing many of my decisions. Sometimes I would say, “I’m following the project’s patterns.” Other times I realized I didn’t fully master some libraries, specific approaches, or certain uses of annotations. My tech lead had far more experience with that stack than I had. Inevitably, I compared my knowledge level to his. Still, there were several moments when I proposed improvements and delivered solutions that made development and maintenance easier. I worked at that company for almost two years and made several meaningful contributions to the same project. I helped introduce coding patterns that improved the development experience, and I also worked as a full-stack developer on multiple initiatives, including one of the most relevant projects: a chatbot where a colleague and I developed the frontend together. During my time there, I worked on backend systems using Java, TypeScript, Stencil, and other related technologies. I also helped plan and establish a migration process for legacy Java projects, updating framework versions and addressing security issues in outdated dependencies. Even so, a nagging feeling crept in: “Am I way below what they expected? Am I really that bad?” That inner voice was the classic Impostor Syndrome. It had been more than four years since I last worked with Java and Spring Boot. During that time I adapted to the technologies each company used. That constant adaptation has a price: you drift away from certain stacks and lose depth in them. Here’s the lesson I took from that experience — simple yet powerful: Relearning and refreshing your skills is essential. Even if you already have experience, continuous learning is what keeps you confident and relevant. Impostor Syndrome may show up, but it can also be a sign of humility and awareness that there is always room for growth. In the end, what matters most is this: keep learning, keep contributing, and allow yourself to evolve.  ( 7 min )

When Every App Uses AI, What Makes Yours Different? Jaideep Parashar ・ Nov 27 #ai #learngoogleaistudio #api #powerapps  ( 7 min )

We’re living in a strange moment in tech history. Just a few years ago, adding “AI-powered” to your product was a competitive advantage. Every app uses AI: note-taking apps writing tools coding assistants task managers CRM platforms design tools search apps customer support bots Everyone has the same models, the same APIs, the same features, and the same demos. So the real question becomes: When every app uses AI… what actually makes yours different? This is the part most founders and developers get wrong because the answer has nothing to do with models, and everything to do with judgment, workflow, and experience. Let’s break it down. 1. AI Is No Longer a Feature: It’s Infrastructure Five years ago, “AI” was a differentiator. Just like: electricity cloud computing storage databases APIs A…  ( 11 min )

1. The Disintegration of the God Model The history of enterprise computing is effectively a history of the pendulum swing between centralization and disintegration. To understand the current architectural pivot toward the Model Context Protocol (MCP), Agent-to-Agent (A2A) frameworks, and Agent Communication Protocols (ACP), one must first situate these technologies within the broader timeline of integration. We are witnessing the end of the "God Model" era in Generative AI—a brief period where the industry hallucinated that a single, monolithic set of parameters could serve as the universal operating system for all human knowledge and execution—and the beginning of the "Agentic Mesh." This transition mirrors the shift from the mainframe to the client-server model, and later, from the mon…  ( 12 min )

Kanpeki: A React component library where you own the source code instead of installing packages. Built on React Aria Components for WCAG compliance, styled with Tailwind CSS. Copy components into your project and modify them as needed. Key features: 🎯 Copy-paste architecture removes dependency management ♿ React Aria handles accessibility primitives automatically 🎨 Tailwind CSS styling with full customization control ⚡ Motion support through tailwindcss-motion 📦 35+ production-ready components 🔧 CVA beta for type-safe variant management The library works with Next.js, Remix, and standard React setups. Installation takes a few CLI commands, then you control everything. 👉 Blog Post 👉 GitHub Repo 👉 Live Demo  ( 6 min )

If there’s one thing I’ve learned during my career it’s this: friendships at work are far more valuable than mere professional contacts. They can open doors you never imagined — even if you are living in a different country, adapting to new environments or building your career from scratch somewhere else. At different stages in my journey these connections changed my path. In college, a classmate who ran a company invited me to work with him. Years later, a professor who recognized my technical skills recommended me for a role at a very well-known company in Brazil. Later still, at a company where I built deep friendships, I experienced one of the periods when I learned the most in my career. We had an extremely technical team, and together, we built incredible things. I still keep in touc…  ( 8 min )

Are you a developer looking to turn your WordPress skills into a reliable stream of income? You’re not alone. With millions of websites running on WordPress, the demand for custom themes and plugins has never been higher. Whether you’re an experienced developer or just starting out, building and selling your own WordPress themes can open the door to serious financial rewards. This guide is packed with step-by-step advice on how you can create your own WordPress themes and sell them on popular marketplaces like ThemeForest. Let’s dive into how you can turn your coding knowledge into cash! Before we jump into the how, let’s talk about the why. WordPress powers over 40% of all websites on the internet, and the platform’s flexibility makes it a go-to for individuals and businesses looking to c…  ( 9 min )

Developers should stop wasting time debating whether AI-generated code is “good” or “bad” and start focusing on how to use it intelligently and responsibly. AI does not replace technical knowledge or engineering experience. What it does is act as a high-leverage tool that expands your ability to deliver, explore, validate and learn. When used with proper supervision, AI becomes a powerful ally rather than a threat. AI can accelerate your work in multiple ways. It can help you understand unfamiliar code patterns, explore different implementation strategies, and create examples that serve as a starting point for your own solution. Imagine you need to maintain a legacy Angular application and have no idea how to write a unit test for a specific scenario. You can ask AI for an example in a sim…  ( 7 min )

There are chapters in Scripture that sit quietly on the page until your life finally reaches the moment where you can hear them. Chapters that wait for your wounds to be open enough, your heart to be honest enough, and your spirit to be tired enough that the words stop sounding like history and start sounding like rescue. That is the power of John 8, the chapter where Jesus doesn’t just teach truth — He embodies it. This is a chapter that exposes every part of the human condition: shame, pride, self-righteousness, sin, truth, hypocrisy, fear, compassion, and the relentless mercy of God. And when read with an open heart, this chapter will do for you exactly what Jesus did for the woman caught in adultery: This article is written the way a legacy article should be — slow, deep, personal, spi…  ( 12 min )

Check out this Pen I made!  ( 5 min )

Time to complete: 30-60 minutes Difficulty: Intermediate Skills tested: Application Security, Algorithm Design, Edge Case Handling In April 2020, security researcher Tom Anthony discovered he could crack into any password-protected Zoom meeting in under 3 minutes. The flaw? No rate limiting on password attempts combined with Zoom's default 6-digit numeric passwords meant attackers could brute-force all 1 million possible combinations within minutes using basic Python code and a handful of cloud servers. Zoom immediately took down their web client on April 2nd to fix the vulnerability, but the damage was done—during peak pandemic lockdown, when millions relied on Zoom for private business meetings, therapy sessions, and confidential legal consultations. Want to make sure your rate limiter…  ( 12 min )

Unlocking Data Narratives: Visualizing Information Flow with Concept Graphs Drowning in data but struggling to see the big picture? Do you find it challenging to translate complex data streams into actionable insights? Imagine being able to visualize the underlying logic of your data, revealing hidden patterns and enabling you to build intuitive conceptual models. Concept graphs offer a powerful solution. They are essentially visual blueprints of data processes, representing how data flows and transforms through a system. These graphs are structured as directed networks where nodes represent data states or processes, and edges indicate the flow of information between them. Think of it like a street map for your data – each intersection represents a key transformation, and the roads illus…  ( 7 min )

Supercharge Your TCJSGame: Introducing Sonic.js Performance Extension If you've been using TCJSGame for your 2D web games, you've probably noticed that performance can become an issue as your games grow more complex. That's where Sonic.js comes in - a powerful performance extension that can dramatically improve your game's frame rates and smoothness. Sonic.js is a performance optimization extension for TCJSGame that introduces advanced rendering techniques to boost your game's performance. It works by creating an intelligent dual-canvas system that minimizes expensive draw calls and optimizes rendering pipelines. The core innovation of Sonic.js is its dual-canvas approach: // Main display canvas (what players see) const display = new Display(); // Offscreen buffer canvas (for optimized…  ( 9 min )

Configuring Azure Container Registry (ACR) for a secure connection with Azure Container Apps is a crucial step in ensuring that your containerized applications are deployed safely and efficiently. This process involves setting up permissions and authentication so Azure Container Apps can securely pull container images from ACR without exposing credentials. By integrating ACR with managed identities or workload identities, teams can streamline deployments, improve security, and maintain a clean, automated DevOps workflow. Configure a user-assigned managed identity Open your Azure portal. On the portal menu, select + Create a resource. On the Create a resource page, in the Search services and marketplace text box, enter managed identity In the filtered list of resources, select User As…  ( 8 min )

Confluent is the name of a company that provides commercial support for Kafka. When enterprises use open source software, they often look for product support on the basis of payment. For example if the software has bugs or security issues, enterprises need tech support in a time bound manner. Confluent is one of the companies that provide such support. Kafka is a stream processing framework. There are many of them out there, both proprietary and open-source. Kafka is popular because it’s open-source, highly performant and flexible. I’m not going to go into lengthy comparisons with other frameworks. Instead, I’ll try to explain why you should use stream processing in the first place. Why stream processing? If you’re building a system that handles large volumes of data, which is increasingly…  ( 7 min )

Line ending inconsistencies between Windows and Linux systems cause formatting issues, Git warnings, and script failures. Operating systems use different conventions to mark the end of a line in text files, creating compatibility challenges in cross-platform development: Windows: Carriage Return + Line Feed (\r\n or CRLF, hex 0D 0A) Linux/Unix: Line Feed only (\n or LF, hex 0A) Classic Mac OS: Carriage Return only (\r or CR, hex 0D) This historical difference stems from typewriter mechanics. Windows inherited the CRLF convention from DOS, which maintained compatibility with teletype machines that required both a carriage return (move to line start) and line feed (advance paper). Bash scripts with Windows line endings fail with cryptic errors: bash: ./script.sh: /bin/bash^M: bad interpreter…  ( 13 min )

TL;DR: AI-First vs. Digitally-Enhanced 5 Key Messages 88% use AI. 39% see impact. Most are "Digitally-Enhanced" (10-15% gains). AI-First delivers 34x revenue per employee via complete process redesign, not tool adoption. Mindset is the bottleneck. Shift from certainty → curiosity, mastery → learning, competition → collaboration. Organizational debt (silos, risk-aversion) must be paid down alongside technical debt. High performers optimize tempo, not cost. Elite 6% complete Scan-Orient-Decide-Act in 2 weeks vs. 8. Velocity compounds. Decision speed = competitive moat. Pilot purgatory is real. Two-thirds haven't scaled. "String of pearls" without North Star = no enterprise impact. Escape: one narrow E2E process, build trust, expand systematically. Jobs evolve, don't disappear. …  ( 15 min )

On November 18th, AWS introduced new flat‑rate pricing plans for Amazon CloudFront designed to make content delivery and security costs more predictable for teams of all sizes. These plans sit alongside the existing pay‑as‑you‑go model and bundle multiple services into a single monthly price per distribution. Traditionally, CloudFront has used pay‑as‑you‑go pricing, which is great for starting at $0, scaling with actual usage, and only paying for what you consume. The tradeoff is that estimating costs can be difficult, especially when you also depend on AWS WAF, DDoS protection, Route 53, CloudWatch Logs, and S3 for a single application. You end up stitching together multiple pricing pages and trying to map them to your traffic patterns just to get a reasonable forecast of your monthly bil…  ( 8 min )

JSON, You Talk Too Much: Exploring TOON for Token-Efficient LLM Communication Introduction JSON, buddy, you might be a bit too chatty. As developers, JSON (JavaScript Object Notation) is like the air we breathe. It's everywhere—API responses, config files, logs, you name it. I've trusted JSON as my reliable companion for years. But ever since I started working with LLMs (Large Language Models), something's been bugging me: "Wait... are you talking way too much?" [ {"id": 1, "name": "user_a", "role": "admin"}, {"id": 2, "name": "user_b", "role": "member"}, {"id": 3, "name": "user_c", "role": "member"} ] JSON is thorough. Very thorough. A good friend, really (or maybe not a "friend" at all, but you get the idea). But that diligence—repeating "id":, "name":, "role": every …  ( 13 min )

Author: (bnggbn) Context: Building on IRP In my previous articles, I established two foundational concepts: IRP (Inverse Responsibility Principle): The backend defines semantics; the frontend must normalize them. Semantic Boundary: The frontend becomes the semantic firewall, not just a UI renderer. Today, I address the critical engineering question: How does the frontend actually achieve this normalization? Where do "semantics" come from, and how do clients transform messy AI and human intent into backend-consumable meaning? Enter the most important missing layer in modern system design: ⭐ Semantic Object Factory (SO Factory) This article introduces the concept—not tied to any specific language, framework, or schema tool—and explains why AI-native systems cannot function without it. AI d…  ( 9 min )

I recently completed a project where I built both resilient and non-resilient cloud resources using Terraform to test a cloud resilience monitoring tool that's still under construction. The objective was to calculate the Recovery Time Objective (RTO) and Recovery Point Objective (RPO) for individual cloud resources, with the proof of concept being done on Azure. As an AWS-native DevOps engineer, I had to get familiar with Azure fast. I took a 10-hour Udemy course and dove straight into provisioning infrastructure-as-code. It was my responsibility to set up all the resources, and that meant learning a completely new cloud platform while implementing disaster recovery solutions that actually work. The main differentiators between resilient and non-resilient resources came down to two things:…  ( 10 min )

Hi DEV Community! 👋 This is my first post here, so I wanted to share a bit about my learning journey as a developer. How I Started I started learning Java because I wanted to build real applications and understand backend development properly. My first steps were simple: Learning core Java concepts Understanding OOP Practicing small programs Trying to fix errors without giving up After gaining some confidence, I moved to Spring Boot, and that completely changed the game for me. Why Spring Boot? Because it makes backend development clean, fast, and professional: Easy API creation Built-in security options Great documentation Used by most companies I first built small APIs like: User registration Login system Simple CRUD JWT authentication These small wins helped me stay motivated. What I’m Learning Now Right now I’m learning: Spring Security JWT Authentication Multi-tenant architecture React & Next.js for frontend Building full-stack projects My goal is to become really strong in backend (Java + Spring Boot) and build complete systems end-to-end. Why I Joined DEV I want to: Share my learning journey Write simple explanations for other beginners Connect with developers who love backend and frontend technologies Start contributing to open-source projects  ( 6 min )

Welcome. I am a 13 year old litrature freak and tech enthusiast. While I have been experementing with robotics and basic programming since I was 9, I have decided to properly learn Python. I will be posting weekly reports on what I learnt that week as well as if I did/am doing any significant projects. This is mostly so that I can hold myself accountable but feel free to use my reports to plan out your own python study if you are a beginner like me. I also have an abnormal intrest in the word 'Quantum'. While I do love Shakespere and old Gothic litrature, I also love the consept of the multiverse, time bending and how Quantum Computing can be related to it all. So, I will be trying to learn about topics surrounding the word and reiterate whatever I understood here. Aside from that, I also love ethical hacking and have previously taken part in a few basic hackathons. I wish to deepen my sills and understanding in this area after I have finished learning a good level of python. Have a great day.  ( 6 min )

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Total XRP ETF assets crossed $628 million, absorbing nearly 80 million tokens in 24 hours, making for a stronger initial response than Solana’s ETF debut earlier this year.

Technical analysis shows DOGE breaking above resistance with a significant volume surge, indicating bullish momentum.

Technical indicators suggest strong momentum, with XRP trading in an ascending broadening wedge and targeting further gains if it remains above key support levels.

Upbit has suspended digital asset withdrawals after detecting irregular activity involving Solana network tokens.

Bitcoin has surged past the $90,000 mark, buoyed by rising expectations of a December Federal Reserve rate cut.

Large holder deposits have hit exchanges and realized losses are climbing, according to CryptoQuant and Glassnode, indicating the market’s rally is being built on thin liquidity.

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Hexagonal Architecture is very popular these days. However, I have seen that a lot of the resources out there that try to teach it do so in a very abstract and technical way. While that is great for understanding all the details, it makes for a poor introduction. So, in this article, I would like to address this issue. I would like to make a simple and straightforward introduction to HA (Hexagonal Architecture) and give you some other resources for further learning, including a public repo that applies HA that I created for this article. So let's begin! Hexagonal Architecture is a design paradigm that focuses on separating the core of the application from everything else and specifying rules on how these two parts should interact. The core of the app is the business logic. All the things t…  ( 8 min )

Semantic Object Factory: The Missing Layer That Aligns AI Intent With Backend Semantics Author: bnggbn For the last two articles, we established two major ideas: IRP — the backend defines semantics; the frontend normalizes them. The frontend is now the semantic boundary, not just a UI renderer. If you missed the first part, IRP established that: the backend defines semantics, and the frontend must normalize them. Today, we address the hard question of how the frontend achieves this normalization. But a critical question emerges: Where do “semantics” actually come from? And how do clients normalize messy AI/human intent into them? Enter one of the most important missing layers in modern system design: This article introduces the concept — not tied to any language, framework, or schema …  ( 8 min )

Background Around 2023/2024, my friends and I began working on an overhaul of the UT Registration Plus extension, which had already been in the university ecosystem for years prior thanks to Sriram Hariharan, and today it has over 60,000 active users on campus! Check it out here: https://github.com/Longhorn-Developers/UT-Registration-Plus A biannual event students know all to well. It’s a process everyone knows, waking up early to catch your access window, refreshing the page again and again, rushing to copy/paste unique numbers, hoping your gen-ed or major-req courses don’t get snatched by hundreds (or thousands) of other Longhorns before you even blink. Students describe registration as chaotic, time-consuming, and often “a free-for-all” where missing a second can cost you a seat. Bec…  ( 7 min )

Introduction The workflow for an agentic app starts when the user interacts with it by presenting a prompt through a chat interface or form. The agent gets this prompt and analyzes it as to what the user intends and requires. It can take the help of LLM to acquire tasks, clarify the details, and break the whole into subtasks. As soon as the agent has a clear understanding of the target, it selects the most appropriate specialized tools or services to achieve the goal. These bring APIs, databases, generative AI (for writing, image generation, etc.), or other partnered systems, and the agent might arrange or put together multiple tool actions dependent on the difficulty of the job. The agent continually assesses and alters, carrying out the tool calls again and asking for more clarificatio…  ( 11 min )

Exceptional developers design systems, optimize for performance, and use AI to operate at 10x efficiency. Because code is just a tool. In 2025, the developers who win are the ones who: Write smarter. Ship faster. Think bigger.  ( 6 min )

Stop and consider your data architecture right now. You are likely grappling with these challenges: 1. Are you facing vendor lock-in and prohibitive costs? 2. Is fragmented metadata wasting your engineering resources? 3. Are your BI systems failing your AI strategy? These three questions directly point to the core friction points stemming from metadata constraints, which are crippling modern data teams: Vendor Lock-in Risk: Fragmentation & Operational Complexity: Multimodal Data Silos: The reality is, the modern data stack is facing a “fragmentation crisis.” Your metadata, which should be the bridge for unified governance, has instead become the primary casualty of this fragmentation. We acknowledge that platform-specific solutions like Databricks Unity Catalog (UC) deliver a smooth exper…  ( 10 min )

JavaScript's prototype chain has a limitation: you can only inherit from one parent class. But what if you want your Dragon class to both Fly and BreatheFire? Or your SmartPhone to be both a Camera and a MusicPlayer? Enter mixins – your secret weapon for composing powerful, reusable behaviors. In JavaScript, this is perfectly valid: class Animal { move() { console.log("Moving..."); } } class Dog extends Animal { bark() { console.log("Woof!"); } } But what if we want Dog to also inherit from a Swimmer class? JavaScript says "no way." We're stuck with a single inheritance chain, which can feel restrictive when building complex applications. A mixin is a class or object that provides methods to other classes without being a parent class itself. Think of mixins as ingredients you can ble…  ( 9 min )

As projects grow, the architecture often becomes the silent bottleneck. Recently, I refactored one of my projects by shifting from a traditional file-type folder structure to a feature-based architecture, and the difference has been significant. In this post, I’ll walk through why I made the switch, how I structured it, and what benefits I gained. Hopefully, this helps you decide if it’s the right move for your project, too. Most React or frontend projects start with something like: src/ components/ hooks/ utils/ pages/ context/ styles/ This works… until it doesn’t. As your project grows, you start jumping between folders just to work on a single feature. A simple update may require touching multiple directories. Files become harder to discover, boundaries blur, and the struct…  ( 7 min )

I built a tool for devs who are tired of babysitting SMTP and deliverability every time they ship a new app or spin up a small SaaS: SMTP Zen. It’s a transactional email + standard mailbox service aimed at developers, freelancers and domain investors who just want stuff to land in the inbox and move on with their lives. What it does: Unlimited domains & mailboxes – No “seats”. Add as many domains/mailboxes as you need and forget about artificial limits. SMTP that actually lands – Guided SPF/DKIM/DMARC setup and enforced TLS so you don’t have to become an email wizard to stay out of spam. Simple sending & forwarding – Custom domains, per-client aliases and mailbox-free forwarders. Great for spinning up project/client addresses in seconds. Real-time logs – Full send/receive paths and errors for every message so debugging deliverability isn’t a guessing game. Zero-downtime IMAP migration – IMAP sync with automatic delta sync, so you can move existing mailboxes without scary cutovers. Usable webmail & dashboard – Fast webmail (Crossbox) with unified inbox, calendar and contacts, plus a clean panel for domains, DNS, mailboxes, forwarders, logs and billing. As a launch promo I set up a 20% off coupon (valid until Dec 31): ZENLAUNCH If you’re curious or want to tear it apart, you can check it out here: SMTP Zen  ( 6 min )

We’ve all had those fuzzy ideas: “Wouldn’t it be fun to make a simple swipe-or-click game?” Usually, that thought dies somewhere between opening a blank repo and realizing you don’t have art, sound, or time. This time, I didn’t let it die. I opened up Gemini Studio AI (free version, nothing paid) and threw in a prompt: “I want to develop a simple yet relatable and fun game. Fuzzy concept is mobile swipe or click type game.” And off we went. The first draft was rough — ugly, basic, but it worked. I played for a few minutes, scribbled notes in the chat box, refined my prompt, and waited. Rinse, repeat. That loop was surprisingly engaging. Instead of grinding through code, I was iterating on ideas. Things that would normally take me a week were happening in two minutes. I sketched out…  ( 7 min )

Python for Absolute Beginners A Complete, Practical Guide Before You Even Start Coding Most people start learning Python by copying short snippets like: print("Hello, world!") They run the code, see the output, feel good, and… they learn nothing. Real learning happens when you understand the foundations behind the syntax — the concepts that turn a beginner into a real programmer. This guide does exactly that: it builds your foundations through clear explanations and practical examples, including a real micro-project you can extend. Is (and Why It Matters) Python is: high-level → you focus on ideas, not memory interpreted → runs code line-by-line dynamically typed → no type declarations general purpose → used by AI, web dev, automation, analytics, DevOps The design…  ( 9 min )

React vs. Vue.js: The 2025 Developer’s Guide to Performance, Ecosystem, and Scalability In the fast-paced world of web development, selecting the right JavaScript framework can make or break your project’s success. React and Vue.js remain two of the most popular choices, each offering unique strengths for building responsive, scalable, and maintainable applications. This comprehensive guide compares React and Vue.js through the lens of performance, long-term support, ecosystem maturity, and developer experience, empowering you to make informed decisions for your next project. With real-world code examples, performance benchmarks, and insights into 2025’s web development landscape, this post is designed for developers seeking clarity on which framework aligns with their goals. Whether you…  ( 11 min )

I'll never forget the moment I realized my wallet was becoming obsolete. I was standing in a busy coffee shop, my hands full with my laptop bag and a dripping umbrella. When it came time to pay, I had to perform an awkward juggling act—balancing everything while fumbling for my wallet, then struggling to tap my phone. The person behind me sighed loudly. That’s when it hit me: why are we still carrying separate devices in 2025? This personal frustration led me down a rabbit hole of research and a unique opportunity to test a prototype that most people think is science fiction. By 2026, your clothing won't just be smart—it will be your wallet, your ID, and your digital identity. Here’s what I learned from a week of living in the future. The Prototype That Changed Everything The lining felt l…  ( 11 min )

In 1776, Thomas Jefferson drafted the Declaration of Independence. In 2025, AI detectors flagged it as 99% machine-written. That’s not a metaphor. That’s a documented failure. ZeroGPT and OpenAI’s own detection tools labeled the Declaration—a document written nearly 250 years before large language models existed—as AI-generated. Not borderline. Not “maybe.” But with 97–99% confidence. And it’s not just the Declaration. The 1836 Texas Declaration of Independence? 86.54% AI. The U.S. Constitution? AI. The Book of Genesis? AI. These tools don’t know what a human is. They don’t know what a machine is. They only know statistical patterns—and they’ve been trained on the very tradition of excellent human writing they now penalize. I’ve Lived This I’ve published six cybersecurity books. I’ve spent…  ( 7 min )

Integrating blockchain into modern apps no longer requires building a wallet system from scratch, Wallet-as-a-Service provides ready-made key management, address generation, multi-chain transactions, and secure signing through simple APIs or SDKs. For fintech, payment apps, Web3 platforms, exchanges, and marketplaces, WaaS dramatically cuts development time, removes the need for cryptography expertise, and delivers enterprise-grade security without maintaining a full wallet backend. What WaaS Is — In Technical Terms From a developer’s perspective, WaaS is a cloud-hosted, programmatic wallet layer that abstracts private-key creation, safe storage, multisig/MPC logic, blockchain interaction, transaction building, fee estimation, and broadcasting. The provider handles encryption, key isolatio…  ( 8 min )

Hi everyone! In this article I wanna show you 2 options to install and run the cursor CLI on a Windows O.S (both require WSL2 + linux distro like ubuntu) for .NET developers (but you can use it for other stacks as well, just adapt it): Everything including git and repositories within the linux distro (better performance but greater overhead to setup) Just the Cursor CLI within the linux distro (easier, performance overhead just for the Cursor CLI) Here you'll also learn how to setup the terminal within the Visual Studio 2022+ to use the Cursor CLI (or others tools). We won't focus on details like how to setup WSL2 + linux distro, neither install the git, you can google it. I know you can. Note: I'll consider you have the WSL2 already set up! Once you have the linux distro running thr…  ( 7 min )

As we count down to the December final draw for the 2026 FIFA World Cup, excitement is building around the world. For the first time in tournament history, three countries will share hosting duties: Canada, Mexico, and the United States. With a combined total of 16 host cities, each with its unique charm and infrastructure developments, fans are eager to experience the thrill of live football in these vibrant locations. According to the official FIFA website, the 16 host cities for World Cup 2026 will be: Canada: Toronto (BMO Field), Vancouver (BC Place), Montreal (Olympic Stadium) Mexico: Guadalajara, Mexico City, Puebla United States: Atlanta, Boston, Dallas, Houston, Kansas City, Los Angeles, Miami, New York/New Jersey, Philadelphia, San Francisco Bay Area, Seattle As the host cities ge…  ( 7 min )

If you've ever tried building a Web3 product, you know the pain: the wallet is often the single most complex, expensive, and risky component. Developing your own wallet isn’t a “small module” — it's effectively a standalone product with its own infrastructure, logic, security requirements, and UX challenges: key management, seed phrase handling, secure signing, multi-chain support, device binding, recovery flows, backend maintenance, chain upgrades… it goes on. Handling all that reliably can consume months of development work and a significant portion of your budget. That’s where Wallet-as-a-Service (WaaS) comes in — and why it’s quickly becoming the “Firebase for Web3.” WaaS abstracts away most of the complexity, allowing teams to focus on building product features instead of wrestling wi…  ( 8 min )

What If Your AI App Could Generate Revenue in Two Ways Simultaneously? In the booming landscape of AI applications, developers are confronted with a common challenge: how to monetize their innovations without compromising user experience. What if we told you there’s a way to generate revenue not just from your app but also from hosting relevant advertisements? Enter Monetzly—the first dual-earning platform designed specifically for AI conversations. Imagine your users enjoying a seamless chat experience while you simultaneously earn revenue from their interactions. With Monetzly, you can achieve just that. Our platform allows developers to monetize their AI applications in two distinct ways: directly from app usage and through conversation-native advertising. First Dual-Earning Platform …  ( 7 min )

I’ve started building SKALDA, a multi-brand suite of privacy-first browser tools. Main site: https://skalda.io Most online tools for “small” tasks — converting units, files, images, video, audio, working with PDFs, subtitles, data, and more — force you to upload files, create an account, and accept tracking. SKALDA does the opposite: tools run locally in the browser no logins or user accounts no file uploads to my servers no tracking scripts everything localized into 62+ languages, including RTL What exists today UNITS – https://units.skalda.io Scientific unit converter with: highly customizable Smart Tab on the homepage 500+ units across many categories smart calculators and custom units “Units Museum” timeline + a small interactive game bulk converter that can handle millions of…  ( 7 min )

I've been using AI coding assistants for about 8 months now. Cursor, GitHub Copilot, the usual suspects. hey're all impressive, but they share one fatal flaw that's been driving me insane: They forget everything. You explain your project architecture. The AI generates some code. Five minutes later, you're explaining the same architecture again. Every session starts from scratch. Every feature request requires re-explaining your context. I found myself maintaining a text file of prompts to copy-paste at the start of each session: "We use Zustand for state management, not Redux" "All API calls go through our custom fetcher with retry logic" "Components follow the compound component pattern" "Test files go in __tests__ not next to the component" I was spending 10% of my coding time just expl…  ( 11 min )

When it comes to infrastructure as code, tools like Terraform, AWS CDK, and Pulumi immediately come to mind. Although these tools include testing capabilities, they often lack a fully integrated local simulation environment that accurately mimics cloud behavior. This gap can lead to longer, more expensive iteration cycles during development. Winglang addresses this challenge by providing a local simulator that mimics cloud behavior, enabling developers to test their code locally before deploying it to the cloud. Additionally, its simple and intuitive syntax and concept of preflight (static infrastructure code) and inflight (the application logic) code makes it easy for developers to work with cloud resources, regardless of their level of experience. In this post, we'll build a CRUD API usi…  ( 10 min )

Small manufacturers often rely on spreadsheets or disconnected tools, which leads to delays, stock errors, and low visibility. The original article explains why modern production-management software helps reduce mistakes, sync inventory, and provide real-time visibility on the shop floor. Real-time production tracking Automatic inventory and warehouse syncing BOM (Bill of Materials) management with version control Easier planning and fewer human errors Integrations with ecommerce, accounting, and shipping Simple onboarding for small teams Scalable without needing a full ERP Real-time dashboards Inventory automation BOM versioning Easy training Strong integrations (Shopify, QuickBooks, scanners, etc.) Top Recommended Tools (2025) Software Best For Katana Ecommerce-driven and DTC manufacturers MRPeasy Small workshops replacing spreadsheets Odoo Growing teams that need modular ERP flexibility Fishbowl Manufacturing Inventory-heavy and regulated products Prodsmart Real-time shop-floor digitization JobBOSS² Custom make-to-order job shops ERPNext Open-source ERP built for scalability For ecommerce-first workflows → Katana, MRPeasy For scalable ERP features → Odoo, ERPNext For strong warehouse controls → Fishbowl For digitizing paper processes → Prodsmart For custom one-off production → JobBOSS² Final Note The right tool depends on your workflow. Start by identifying your pain points (inventory errors, scheduling, visibility), then test the tools that match your needs. 👉 Read the full article here: https://www.learn-dev-tools.blog/best-production-management-software-for-small-manufacturers/  ( 6 min )

Implemente un Monitoreo Transaccional Sostenible con IA/ML En la era digital, la prevención del lavado de dinero (PLD) es un desafío constante para los sujetos obligados en México. La Ley Federal de Prevención e Identificación de Operaciones con Recursos de Procedencia Ilícita-LFPIORPI exige una adopción efectiva de medidas preventivas para evitar la participación en operaciones con recursos de procedencia ilícita. En este sentido, la implementación de una plataforma de PLD basada en Inteligencia Artificial (IA) y Machine Learning (ML) puede ser una herramienta clave para asegurar el cumplimiento sostenible y reducir costos. Beneficios de una plataforma de PLD con IA/ML Trazabilidad: una plataforma con IA/ML como TarantulaHawk.ai permite una trazabilidad completa de las operaciones, lo q…  ( 7 min )

It's not PERN, JAM, LAMP, or MEAN. The IVVV Stack is a simple architecture that is completed entirely on the front-end, consisting of the following components: Indexed DB Vanilla JS Vanilla HTML Vanilla CSS Simple, right? Here's a memo app created using the IVVV stack. Application https://stakiran.github.io/memoapp1/ Repository https://github.com/stakiran/memoapp1 Prompt https://chatgpt.com/share/6926aad9-faf0-8007-bcb8-9e64cd1f86b1 It's quite challenging for modern engineers to develop using vanilla JS, HTML, and CSS. Even for small-scale projects, it's likely not something you'd want to do. Use generative AI. With a decent level of language skills, you can create simple prototypes. By using randomness and asynchronous operations, you can simulate multiple users. Even with just IVVV, you can create something fairly decent.  ( 6 min )

The Takeaway / TLDR AI-First DevOps is not just an evolutionary step in software engineering—it’s a revolutionary shift in how we build, scale, and manage digital systems. The companies and teams that thrive won’t be those who simply bolt on AI add-ons, but those who fundamentally reimagine their workflows, culture, and infrastructure from the ground up, trusting in intelligent automation to unlock exponential gains. This moment demands more than tool adoption; it calls for a reinvention of roles, priorities, and even the web itself. The future belongs to those bold enough to embrace the autonomy and partnership AI offers, while building the guardrails and documentation that allow trust to flourish. The real risk isn’t being replaced by AI, but missing the race because you hesitated at …  ( 18 min )

Launching a SaaS as an engineer feels exciting and terrifying at the same time. You probably have a brilliant product idea but freeze when it comes to the business side. You've built something amazing in your spare time, maybe solved a problem that's been bugging you for months. The hard part usually isn’t the code — it’s everything around it. The first step is defining the problem in painfully simple language. If you can’t explain what your product does in one sentence to a non‑technical friend, it’s going to be 10x harder to explain it to a potential user. Skip the buzzwords and nail the “who, what, why”: who it’s for, what it does, and why it matters. Next, build the absolute smallest version of the product that still solves the core problem. Not a “tiny version of your big vision,” but…  ( 7 min )

Temporal Attention-based Long-Short Term Memory (TALSTM) Challenge In this challenge, we'll push the limits of Long Short-Term Memory (LSTM) networks by introducing a novel temporal attention mechanism. Your task is to design, train, and evaluate a TALSTM model that can learn to forecast the trajectory of a dynamic system with multiple, interacting components. Constraints: Multi-modal input: Your model will accept three types of input data: Time-series data (e.g., sensor readings) with 10 features Image data (e.g., camera feeds) with 3 color channels Text data (e.g., system logs) with 5 keywords Dynamic system: The system consists of 5 interacting components, each with its own temporal dynamics. The components are: Component A: Temperature (time-series) Component B: Humidity (time-seri…  ( 7 min )

Garbage collection?? Huhh it is just a small topic. wait what???? 😮😮 Then what are these terms 1. The Beginning: Empty Memory Young Generation (Green): Where new objects are born. It's often smaller because most objects die quickly. Old Generation (Blue): Where objects that have proven to live a long time go. This area is typically larger. Young generation structure: Eden Space: Where all new objects initially go. Survivor Space 1 (S1): Objects surviving an Eden collection are moved here. Survivor Space 2 (S2): Objects are moved between S1 and S2 in subsequent collections. Collection Type: The GC event that collects this area is called a Minor GC. Process: When Eden fills up, a Minor GC is triggered. Objects that are still reachable (in use) in Eden and the active Survivor space are …  ( 7 min )

The Icon Problem We've All Faced Picture this: You're building a React app, and you need icons. Simple enough, right? Wrong. You start with react-icons, and suddenly your bundle size balloons to 2MB+. You switch to icon fonts, but they feel like using a fax machine in 2025. You try Iconify's web components, but oops—your app breaks offline. And don't even get me started on manually copying SVGs from different icon libraries and trying to maintain them. 🤯 Today, I want to introduce you to Iconx—a CLI tool that fundamentally changes how we work with icons in React. Built by the team at Saas UI, it takes inspiration from the shadcn/ui philosophy: generate the code you own and control. But here's the kicker: instead of being limited to a single icon set, you get access to 200,000+ icons fr…  ( 9 min )

Terraform plan is the guardrail between your code and your live infrastructure. Every time you run it, Terraform compares your desired configuration with the current state and shows you exactly what’s going to change — before anything actually happens. If you want to avoid destructive changes, catch drift early, and prevent misconfigured variables from sneaking into production, this guide is for you. 🚀 This post covers: How the Terraform plan engine works How to read plan output (add/change/destroy) How to automate plan checks in CI/CD Common flags you'll actually use Real copy/paste examples Team-friendly best practices Bonus: risk-aware reviews with ControlMonkey Let’s get into it. Terraform plan generates an execution plan without changing any resources. It refreshes state (un…  ( 9 min )

Learn how to scrape live weather data, store it in SQLite, and receive automatic notifications - all in a practical end-to-end Python project. Living in a ski town means the weather basically runs my life. One minute it’s sunny and warm, the next it's below freezing, and we're getting over a foot of snow. More snow = more fun, but I have to be aware that I cannot simply get up and go. Someone has to shovel out the driveway and scrape off the car. Tired of constantly refreshing weather websites, I decided to automate the whole process. I built a Python pipeline that scrapes current conditions, stores them in SQLite, applies simple alert rules, and emails me whenever something important happens, so I never miss a snowstorm (or an exceptionally freezing morning) again. The goal was simple …  ( 8 min )

Bill Simmons, Chris Ryan, and Cousin Sal fire up their favorite Monday night parlay as they revisit the 2005 sports thriller Two for the Money (starring Matthew McConaughey, Al Pacino, and Rene Russo). They dive into the film’s sports-betting hijinks, debate the most rewatchable scene, and roll through a rapid-fire category showdown. Along the way, the crew delivers hot takes, laughs off epic gambles, and plugs Subaru’s Share the Love event, State Farm’s coverage tips, and all the must-follow Ringer channels. Watch on YouTube  ( 6 min )

CinemaSins just dropped “Everything Wrong With KPop Demon Hunters In 16 Minutes Or Less,” a rapid-fire riff on all the movie’s quirks, gaffes and head-scratching moments, delivered in their trademark snarky style. They also plug the CinemaSins universe—website, YouTube channels, Discord, Reddit and a sinful poll—invite you to support them on Patreon, and give shout-outs to the writing team and all their social handles. Watch on YouTube  ( 6 min )

Everything Wrong With Mission: Impossible – The Final Reckoning CinemaSins unleashes its trademark snark on Tom Cruise’s latest MI outing, packing every nitpick (including the “death on film” gag) into a brisk 27-minute romp and mourning that the franchise might be losing steam. They also plug their digital HQ—hit up cinemasins.com for more vids, vote in their sinful poll, back ’em on Patreon, and join the party on Discord, Reddit, TikTok, Instagram and beyond. Don’t forget to stalk their writers on Twitter and Instagram too! Watch on YouTube  ( 6 min )

A post by Jess Lee  ( 6 min )

As a best-selling author, I invite you to explore my books on Amazon. Don't forget to follow me on Medium and show your support. Thank you! Your support means the world! Testing is like having a safety net for your code. It helps make sure that everything works the way it should, even when things change. I think of it as a way to catch mistakes before they cause bigger problems. When I write code, I always include tests to verify that each part does its job correctly. This saves me time later because I can spot issues quickly. Let me start with unit testing. This is where you test small pieces of your code, one at a time. It is like checking each ingredient before cooking a meal. In Python, you can use the unittest framework to do this. It lets you create test cases and check if the resul…  ( 11 min )

So, you are a frontend developer and you receive some Figma designs from a client, along with a clear plan for building the UI. Then, a few minutes into turning these designs into code, the complexity begins to surface, as handling variations of components, styling, and other interactivity of the design becomes apparent. In addition to the time and effort, this can be a big challenge for developers. However, turning complex Figma designs into clean and responsive code without worrying about these challenges is becoming a thing of the past. Figma to code with Kombai gives you a frontend AI agent that can convert Figma designs into responsive live features. This frontend AI agent is built as a plugin/extension that developers can use to automate the process of turning Figma designs into code…  ( 11 min )

I work in e-commerce and SEO by day, so I spend a lot of time dealing with complex stacks, databases, and user tracking. But when I wanted to build a simple tool to track my own subscription spending, I didn't want any of that. I didn't want a database. I didn't want user accounts. And I definitely didn't want to handle sensitive financial data on a server. So I built FinTech Lite, a suite of financial tools that runs 100% in the browser. Here is how (and why) I built the Subscription Auditor using nothing but Vanilla JS, Tailwind, and the Local Storage API. Most fintech apps follow the same pattern: User signs up (email/password). App requests bank credentials (Plaid/Yodlee). App sucks data into a database. I wanted the opposite. I wanted a "dumb" calculator that remembers you but doesn'…  ( 7 min )

Hey friends! 👋 Let’s talk about something we all do every day: Typing a URL into your browser In case you don’t know what a URL is: URL stands for Uniform Resource Locator. It’s basically the address of a webpage, just like your home address tells people where you live, a URL tells the internet where a page is located. We type URLs so casually: https://google.com …but a lot happens behind the scenes before that page appears on your screen. 1️⃣ The browser checks the URL Your browser first checks: is this a valid URL? is it HTTP or HTTPS? which domain are we visiting? Nothing is loaded yet, it's just making sure the link is valid. 2️⃣ It looks in the cache Your browser asks itself: “Have I seen this page before?” It checks cached files like: HTML CSS images JavaScript If it finds some…  ( 8 min )

Video content has become an essential element of digital communication, marketing, and personal expression. Whether you are a content creator, marketer, or educator, producing engaging video clips is crucial to capturing audience attention. Yet, creating high-quality clips manually can be time-consuming and complex, requiring specialized skills and software. AI-powered tools, such as LiveLink AI, offer an efficient solution, enabling creators to transform long-form videos into compelling short clips with minimal effort. The Rise of AI in Video Editing Artificial intelligence has transformed multiple industries, and video production is no exception. AI algorithms can analyze footage, detect significant moments, and automatically generate highlights or short segments. These capabilities dras…  ( 8 min )

If your GitHub repos were suddenly hit with unknown commits, modified README files, or a weird new repo you never created, you may have been affected by Sha1-Hulud, one of the largest npm supply-chain attacks in recent times. This is a malware campaign that spread through compromised npm packages and silently impacted thousands of developers. This post breaks down: What Sha1-Hulud actually is What it does to your system and GitHub And the exact steps to recover safely Sha1-Hulud is malware distributed through infected npm packages. Attackers compromised legitimate package maintainers and injected malicious install scripts. The moment a developer installed one of these packages, the malware executed automatically. Once active, it used the developer’s access to: Steal secrets (API keys, toke…  ( 8 min )

Happy to type again. squirrel(Anil) 🐿. but in my home i can watch the squirrel fight and daily routines of squirrel. in my working hours i work in upstairs. when i want some break or need water i go down to play with pets and drink water. like this today morning i came for short break i saw 2 squirrels are chasing each others in tree and they suddenly fall into the well(kinaru) ,without any doubt i go there and put the bucket into that well and try to pick up them one squirrel understand my help and try to catch the rope but another one is not understand.first one is catch the rope and get out of the well. and another one is try to get out of the well by running on the well's wall but it again and again it fell into the well i try many attempt help them but it go away from the rope and the bucket. after some time finally it understand and come near to the rope and get this rope and quickly pulling the rope and get out from the well.. and they both run away from the well. here i want to tell one thing if u r studying then take some break on every 1 or 2 hours to relax yourself. if u r in institute or any group studies spend your break time with your friends or any one else... keep learning .. keep helping..  ( 6 min )

I’ve been spending the last few weeks heads-down on a new project, and I’m finally at a point where I can share what I’ve been building. I realized that while there are plenty of templates out there, it’s hard to find one that combines a clean, futuristic UI with solid, scalable code. So I decided to make my own. I’m calling it Krome (for now), and it’s a high-performance landing page + multipage template built for AI startups and modern SaaS platforms. Link: https://ai-agent-template-tan.vercel.app/ My goal with this template was simple: create a UI that immediately feels trustworthy and premium. Think deep dark mode, soft glowing gradients, glassmorphism touches, and bento-style feature blocks. I spent a lot of time refining the Pricing and Feature sections to make sure the visuals guide the user naturally through the product journey. This isn’t just a pretty UI—it's built to scale. Some of the core features include: Multi-theme support: Easily switch accent colors or entire theme presets. ** Multi-page architecture:** Includes more than just a landing page—About, Contact, Sign Up, and more. Fully working MDX blog: Write posts in Markdown and have them render beautifully. Dynamic SEO: Every page and blog post automatically gets proper metadata. The project is about 80% complete. Most of the core pages, UI sections, and responsive layouts are done. The remaining work is mostly polish: Making animations (especially scroll reveal) smoother. Improving the mobile experience. Cleaning up code comments and simplifying components so it’s easy for anyone to customize. If you want to check it out or share feedback, the link is above. Still polishing things, but it's getting close!  ( 7 min )

So I finally watched AlphaGo, that documentary about the Google DeepMind AI that took on the world champion in Go, and honestly… I didn’t expect to enjoy it this much. I thought it would be one of those “tech bros hype themselves” films, but wueh, it’s actually deep. First things first,the game itself. Go is like chess on steroids. Watching those pros talk about it felt like watching athletes explaining how they breathe. The amount of strategy, intuition, and reading the board… it made me respect the game a lot more. And the way the documentary broke it down for normal people? Lovely. Even those of us who have never touched a Go board can follow the tension. Then there's Lee Sedol. Man, that guy carried the emotional weight of the whole thing. You feel the pressure on him — not just to win…  ( 7 min )

Check out this Pen I made!  ( 5 min )

Introduction Why Must We Write Clean Code? To answer this question, let me tell you A story mentioned in the book "Clean Code" by the author In the late 80s, a killer app was written. It was very popular, and lots of professionals bought and used it. But then the release cycles began to stretch. Bugs were not repaired from one release to the next. In short, writing code that is difficult to read and understand clearly makes it hard for other programmers to understand and modify the code. So, if you want to write clean code to help your staff work without any question mark, like what this code does and what its meaning is, you can follow a series of Clean Code that comprises many chapters, and every chapter will contain some guidelines that help you to write clean code. Agendia What i…  ( 11 min )

I’ve tested hundreds of viral ChatGPT prompts. Most? Overpromise and underdeliver — they sound clever but produce generic, robotic replies. I don’t want “viral.” I want useful. After months of experimenting, I collected 5 prompts people share because they genuinely work. No jargon. No gimmicks. Just smart ways to save time, think clearly, and get unstuck. Try this: Why it works: It forces clarity. ChatGPT drops jargon and gets to the core idea. Example: “Quantum computing is like reading every book in the library at once instead of one by one.” Use when: researching anything confusing (taxes, AI, LLMs, mortgages). Try this: Why it works: It forces healthy disagreement and exposes blind spots. Try this: Why it works: Using the word “unexpected” avoids generic answers. You get fresh takes like: “How fast fashion algorithms manipulate trends” “The carbon cost of organic cotton” “Why renting clothes often fails” Try this: Why it works: We all write fuzzy first drafts. This sharpens them instantly. Before: “I was wondering if maybe you could possibly review this document when you have a moment?” After: “Could you review this document by Friday?” Try this: Why it works: “Act as a [role]” activates domain-specific feedback — not generic proofreading. Prompts are starting points. To get great results: Bad: “Fix this.” Good: “Fix this LinkedIn post. Make it punchier and remove passive voice.” “Under 50 words” “Only bullet points” “Three options” If it sounds robotic: “Make it more casual, like a friend explaining.” Reusable templates like: The best prompts solve your specific problem. Example I used last week: “SEO is like putting up signs for your bakery. The better your signs (your website content), the more people Google sends to your door.” Perfect. Pick one prompt from above. Use it today. See the difference yourself. If you enjoyed this, leave a ❤️ reaction or comment — it helps a lot! — Thanks Mashraf Aiman Co-founder, inshot.news Founder, COO, voteX Co-founder, CTO, Lawkit  ( 7 min )

Kaapi: A flexible, extensible backend framework for modern APIs with messaging, documentation, and type safety built right in. This series is written for backend developers who love TypeScript and can appreciate Hapi’s design philosophy. Kaapi (@kaapi/kaapi) is a TypeScript-first backend framework built on top of Hapi.js. It gives you a clean foundation for building modular, documented, and message-driven APIs without the boilerplate. Think of it as Hapi, but with: Type safety throughout Messaging support (Kafka-ready) Auto-generated OpenAPI & Postman docs Built-in logging via Winston So not "Yet again a new Nodejs framework this year!" in case your were thinking that (I know you did) but rather a practical evolution: the same trusted Hapi core, now supercharged. It’s about cutting boil…  ( 7 min )

Or: How I Learned to Stop Worrying and Love SERIALIZABLE Tags: #postgresql #database #concurrency #debugging You know that feeling when your code is perfect, your tests are green, but production still betrays you? It's 3 AM. Our e-commerce platform just sold the same limited-edition sneaker to 47 different people. We only had 12 pairs. The interesting part? “enough stock available.” And somehow, we oversold by 350%. async function purchaseItem(itemId, quantity) { const available = await db.query( 'SELECT stock FROM inventory WHERE id = $1', [itemId] ); if (available.rows[0].stock >= quantity) { await db.query( 'UPDATE inventory SET stock = stock - $1 WHERE id = $2', [quantity, itemId] ); return { success: true }; } return { success: false, erro…  ( 7 min )

Many enterprises rely on AWS S3 as the backbone of their data storage strategy because of its immense scalability, global reach, and extreme durability measured in eleven nines. Everything from audit logs and backups to machine learning datasets often ends up living on S3. But S3 is not a file a system, it’s an object store—an important difference. This means that S3 wasn’t designed to handle low-latency, high-frequency access or POSIX-style workloads. It’s missing crucial file system features like atomic renames, file locking, shared caching, and sub-millisecond response times. Even though it’s a common practice, treating S3 like a traditional file system often leads to performance bottlenecks, unpredictable behavior, and the need for engineering workarounds. As data volumes increase and …  ( 12 min )

Hello there! If you've ever felt overwhelmed by the idea of securing a microservices architecture, you are not alone. It's a common stumbling block. In a monolithic app, you just check the session in one place. But when you have 5, 10, or 50 services, how do you make sure only the right people get in? Today, we're going to build a robust, production-ready authentication flow using Node.js. We'll use a pattern that is both scalable and easy to understand: Gateway Authentication and Service-Level Authorization. By the end of this tutorial, you'll have a working system with 3 services: API Gateway: The entry point (The Bouncer). Auth Service: Handles Login (The ID Issuer). Custom Service: A demo service with Public, User, and Admin routes. Let's dive in! Before we write code, let's visuali…  ( 9 min )

A few months ago, all of your startup’s data could be stored in just one database. Now, you’re overwhelmed by customer data from six separate services, and your operations team is requesting detailed analytics. Relying on manual data queries to the production database is no longer feasible, and with your engineering team already at capacity, you need a specialized layer that can deliver insights without disrupting your customer-facing production systems. Nowadays, businesses produce data from all directions: user interactions, logs, third-party tools, and more. To generate meaningful business insights, you need data—and as such, your data architecture shapes what you can analyze. Production databases, designed for user operations, aren’t built to handle the complex queries needed for in-de…  ( 11 min )

After a decade training Nuxeo developers, I can predict when someone quits: Day three. They're drowning in diagrams trying to understand document models, schemas, facets, repositories, event buses, lifecycle states, automation chains... What I wish someone told me in 2013: Don't try to understand Nuxeo's architecture first. Start with OSGi concepts and solid Java. Everything becomes logical after that. Real prerequisites: Java 11/17/21 (solid skills, not "took a class once") OSGi concepts (bundle lifecycle, service registry, extension points) REST API mastery Polymer 3.x (if touching UI) Common pitfalls: Trying to understand everything before coding Ignoring OSGi (then weird classloading errors) Fighting the platform vs learning its patterns Using Java for stuff Studio generates in minutes Not reading logs (they're helpful!) Full guide covers: Week-by-week learning roadmap Real-world success patterns with metrics Honest "choose if / skip if" assessment Code examples and architecture Article: Full reading here Happy to answer questions about Nuxeo, OSGi, ECM, or implementation challenges.  ( 6 min )

Buy Me a Coffee☕ *Memo: My post explains type hints (1). My post explains type hints (2). My post explains type hints (3). My post explains type hints (4). My post explains type hints (5). Callable and Protocol can be used for a function as shown below: *Memo: Callable can specify function parameter and return types, doing less than Protocol: The 1st argument is paramtypes(Required:-Type:list(Type) or ellipsis): It's a list of one or more parameter types. ... (but not Ellipsis) can be used to accept the zero or more arguments of all types but it shouldn't be used because it's too gereral: ... is different from Any which accepts the one argument of all types. Don't use paramtypes=. The 2nd argument is returntype(Required-Type:Type)): It's a return type. Don't use returntype=. Proto…  ( 8 min )

Hey fellow engineers—tired of codebases that start clean and end up as tangled messes? You're not alone. Most teams slap on a linter and a formatter, pat themselves on the back, and then spend years wrestling with tech debt. This guide cuts through the hype: a curated comparison of Python code-quality tools, spotlighting the heavy hitters like Ruff and Bandit, plus emerging stars Skylos and PySCN. We're talking strict, production-grade quality here—no fluffy marketing. We'll break down what each tool analyzes, its superpowers (and blind spots), and when to deploy it. By the end, you'll have precise recommendations to bulletproof your pipeline. Whether you're scaling a startup prototype or taming a legacy monolith, this is your roadmap to code that doesn't just work today but scales tomorr…  ( 9 min )

Introduction In the world of distributed systems and agentic AI, managing complex, long-running workflows reliably is a significant challenge. Traditional approaches often struggle with failures, state management, and ensuring that processes complete successfully even when systems crash or network issues occur. Temporal is an open-source platform that solves these problems by providing durable, reliable workflow orchestration. It abstracts away the complexities of distributed systems, allowing developers to focus on business logic while Temporal handles failures, retries, and state management automatically. This article explores Temporal's core concepts, workflow patterns, and how it's revolutionizing the development of agentic AI systems. Temporal is a workflow orchestration platform th…  ( 20 min )

If you’ve ever needed a fast, flexible, and framework-friendly file manager for your Vue applications, VueFinder might be exactly what you’re looking for. Originally built as a small utility, it has evolved into a solid, production-ready file management layer that plugs neatly into modern Vue stacks. It handles uploading, browsing, selecting, cropping, previewing, and organizing files with a smooth UI and a developer-friendly API. VueFinder integrates well with common workflows — whether you’re building admin panels, content management tools, SaaS dashboards, or anything that needs robust file handling. The latest version brings an updated architecture, cleaner internals, and a much nicer developer experience. If you’re curious, try it out and tell me what you think: https://vuefinder.ozdemir.be  ( 6 min )

Working in hospital theatre recovery has taught me the importance of precision, adaptability, and reliable systems. Beyond patient care, I’ve also been closely involved with managing data, coordinating appointments, and ensuring smooth workflows. The more I worked with these digital systems, the more I realised something bigger was happening around us. Technology, especially AI is reshaping industries at an incredible pace. I began to see how automation, cloud solutions, and smart data systems are becoming the backbone of modern healthcare and beyond. That shift changed my perspective. I didn’t just want to use these systems. I want to understand and contribute to the technology driving them. This curiosity led me into data analysis, then data engineering, where I explored how information flows and how insights are created. Each step opened a new path and ultimately guided me toward Cloud Engineering and DevOps. The foundations that power AI, automation, and scalable digital systems. Balancing a full time healthcare role with learning tech hasn’t always been easy, but it has been rewarding. For me, this transition is about embracing change, staying future ready, and being part of the innovations that are reshaping our world. I’ll be sharing my journey. The lessons, challenges, and small wins along the way. If you’re also navigating a career transition or exploring the cloud/AI space, I’d love to connect and grow together.  ( 6 min )

Day 1 — Trying to get the QEMU kernel sandbox going Time to setup the environment for kernel development. Rather than risk shooting myself in the foot on my bare host, I decided to: build a custom kernel + minimal user land, and boot it inside QEMU. What I thought would be a straightforward path — went somewhat astray, or at least was different than what I'd expected it would be. Clone a recent upstream Linux kernel source tree. Installed dependencies (compiler, build tools, kernel-dev libs, etc.). Configure the kernel (make defconfig), enabled built-in drivers I expected to need (make kvm_guest.config). Which the built in configs for kvm was nice to find instead of having to menuconfig and change them all myself, or write config snippets and merge them with merge_config Built a minimal root filesystem using BusyBox + a tiny initramfs / minimal userland. This provided a good refresher of how booting the kernel works. Launched QEMU: point it to the kernel image, attach the rootfs, set console/serial, etc. A quick "hello world" environment. Boot → get a kernel log on serial → minimal root shell → experiment with loading modules / tinkering / debugging — all safely sandboxed, without risking my host’s stability. What followed was… a lot of head-scratching. Mostly I spent a ton of time digging through forums and reading posts about how the systems worked, but it really wasn't all that bad. Starting with some kernel panics as init wasn't built properly or I was pointing to the wrong bzImage. Once I got all the pieces properly laid out it all worked perfectly. A nice safe environment where I don't have to worry about crashing my daily driver. Build and test a trivial kernel module, load it, unload it.  ( 6 min )

The Challenge Black Friday is coming in 8 weeks, and your payment platform needs to handle a massive traffic spike: Normal load: 500 transactions/second Expected peak: 5,000 transactions/second (10x increase!) Current capacity: Only 1,500 transactions/second Budget constraint: Minimize costs and auto-scale down after the event Requirement: Zero impact on current service levels during preparation This isn't just about adding more servers. It requires a comprehensive scaling strategy across the entire stack: application layer, database, caching, networking, and monitoring. In this article, I'll walk through a complete AWS-based scaling strategy that handles the 10x traffic spike while optimizing costs and maintaining security and compliance. Scaling for a 10x traffic spike requires address…  ( 16 min )

As you embark on your journey into Infrastructure as Code (IaC), understanding how to translate simple resource needs into code is the essential first step. Terraform enables us to define infrastructure, ensuring consistency and efficiency. This blog post walks through the process of provisioning the simplest possible resource on AWS: an S3 bucket, leveraging the core Terraform workflow. To begin provisioning any resource, you must first define your configuration in a file that uses the .tf extension (e.g., main.tf). Terraform recognizes this extension as a configuration file. For our task creating an S3 bucket, we consult the Terraform documentation to find the required resource type: aws_s3_bucket. Code Example: Defining the S3 Bucket internal name (e.g., firstbucket), which is used to …  ( 8 min )

Bill Simmons, Chris Ryan, and Cousin Sal fire up their Monday night parlay as they revisit Two for the Money, the 2005 sports-thriller where Matthew McConaughey plays a betting wunderkind under Al Pacino’s tutelage. After a quick cold open, they dissect the film’s high-stakes gambling scenes, pick their Most Rewatchable Moment, and then dive into their signature category games. Between sharp takes and friendly banter, the crew keeps it light—shout-out to Subaru’s Share the Love event and State Farm for chiming in—before wrapping up with links to The Ringer shop and social channels. Perfect for anyone craving a mix of sports insights and Hollywood hustle. Watch on YouTube  ( 6 min )

Sean Fennessey and Amanda Dobbins wrap up their yearlong countdown by landing Spike Lee’s 2002 drama 25th Hour at No. 3, praising it as an under-appreciated masterpiece that lives and breathes in real time. They unpack Lee’s bold stylistic choices—everything from the kinetic camera work to the razor-sharp dialogue—that make the film feel urgent, intimate, and emotionally gut-wrenching. Beyond its tense narrative of a man’s last day of freedom, the hosts highlight the movie’s “fricative tension,” the way every idea and interaction crackles with unsaid conflict. Whether you’re streaming on Prime or catching it for the first time, they argue, 25th Hour remains one of the century’s most affecting cinematic experiences. Watch on YouTube  ( 6 min )

Everything Wrong With KPop Demon Hunters In 16 Minutes Or Less is a snappy Cinemasins video that playfully rips into the latest KPop Demon Hunters flick, dishing out fast-paced “sins” commentary and tongue-in-cheek jokes. On top of that, the description hooks you up with links to Cinemasins’ main site, extra YouTube channels, social media hubs, a fan poll, and Patreon. You’ll also find full writer credits plus invites to their Discord, Reddit, Instagram, TikTok—and even Jeremy’s book if you need more sinning in your life. Watch on YouTube  ( 6 min )

🚀 Learn LangChain JS (with LangGraph) — My Open-Source Repo Over the last few weeks, I’ve been learning how real AI backends are built — not just “call an LLM” but actual systems that use tools, memory, RAG, scraping, agents, and workflow logic. While learning, I noticed something: There isn’t a simple, practical, beginner-friendly way to learn LangChain JS + LangGraph with real examples. So I decided to build one myself. 👉 Learn-LangChain (JS) 🔗 Repo: https://github.com/iparesh18/Learn-LangChain ⭐ What’s Inside Prompt chains Output parsing Embeddings + vector search Basic RAG Tools (RunnableLambda + validation) Puppeteer scraping LLM-as-a-tool Agent execution LangGraph (nodes, edges, routing) Multi-agent flows (planner → scrape/search → final answer) Every file is a standalone lesson. 🌱 Why I Built This I wanted something simple, practical, and structured — the kind of resource I wish existed when I started. And I’ll keep updating it with more chapters as I learn. 📌 Repo Link If you're exploring LangChain, LangGraph, or agentic AI in general — this might save you a lot of time. 👉 https://github.com/iparesh18/Learn-LangChain  ( 6 min )

The Surprising Benchmark Imagine we have a task, me and you: a file with 10000 words in it - count the occurrence of each word, and present us with top-10 of the most common words there. We come up with some ideas, write those ideas out on an IDE, and now we benchmark it to see how blazingly fast our API is. word_counting_hashing time: [4.6504 ms 4.6591 ms 4.6686 ms] Found 13 outliers among 100 measurements (13.00%) 6 (6.00%) high mild 7 (7.00%) high severe word_counting_binary time: [29.797 ms 30.042 ms 30.304 ms] Found 6 outliers among 100 measurements (6.00%) 6 (6.00%) high mild Benchmarking word_counting_linear: Warming up for 3.0000 s Warning: Unable to complete 100 samples in 5.0s. You may wish to increase target time to 12.0s, or reduce sample count to 40. word_co…  ( 17 min )

There are moments in the Bible that read like history—and then there are moments that read like you. John Chapter 5 is one of those moments. It is not gentle. It is not simple. It does not sit quietly in the corner of Scripture. It confronts you. It exposes you. It comforts you. It awakens you. It speaks to the parts of your life that feel old, tired, worn down, and forgotten by time. It speaks to the cycles you’ve learned to live with, the pain you’ve learned to manage, the disappointment you’ve learned to hide, and the long-term struggles you’ve learned to survive. John 5 is not about a man who needed healing. This chapter is about mercy with muscle. John 5 is the chapter that won’t let you stay the same. The Pool of Bethesda: The Geography of Pain and Waiting Before you can understand t…  ( 13 min )

iOS unit testing is a fundamental practice in modern iOS app development, helping developers ensure that each component of their app works as intended. By writing Swift unit tests using the XCTest framework, developers can verify the logic of individual classes, methods, and functions in isolation, reducing bugs and improving code quality. Unit testing is a cornerstone of iOS automated testing and plays a vital role in Test-driven development iOS workflows, where teams often use an iOS simulator online to quickly execute tests.Incorporating unit tests early in development ensures that your app remains stable, maintainable, and easier to scale. In this tutorial, we will explore the essentials of iOS unit testing, demonstrate practical examples using Swift unit tests, and highlight best prac…  ( 15 min )

A hands-on developer-focused introduction to GitOps and Argo CD. Learn how GitOps works, why it matters, and how to deploy your first Kubernetes application using Argo CD with examples, diagrams, and real-world use cases. 📑 Table of Contents What Is GitOps? Why GitOps Matters for Developers Core Principles of GitOps Argo CD Overview & Architecture Installing Argo CD Deploying Your First Application with Argo CD Real-World GitOps Use Cases Common Developer Questions Related Tools & Libraries Conclusion + Call to Action SEO Keywords Suggested Dev.to Tags Canonical Link Notice Cover Image What Is GitOps? GitOps is an operational model where Git becomes the single source of truth for describing infrastructure and application state. Instead of pushing changes directly to Kubernetes, devel…  ( 9 min )

Financial data rarely behaves calmly. Prices spike, plunge, pause, and surge again—often without warning. Traditional time-series models like ARIMA or linear regression help capture patterns and trends, but they assume constant variance. Real markets don’t behave that politely. Their volatility changes constantly, and this “changing variance” itself becomes part of the story. Why ARCH and GARCH? A Gap in Classical Modeling ARCH: The Foundation of Volatility Modeling GARCH: A More Flexible Version of ARCH Volatility Clustering: The Heart of GARCH Understanding GARCH(p, q) If > 1 : volatility explodes (rare in real markets) This tells you how long it takes for a volatility shock to fall by half. Hands-On Implementation in R Step 1: Load the Data We then convert date and day into proper formats: Step 2: Load Supporting Packages library(fGarch) Step 3: Create the Time Series The plot reveals small, persistent fluctuations—perfect for volatility analysis. Step 4: Compute Log Differences (Inflation) The summary reveals heavy variability (range: −2.8 to +5.5), indicating suitability for GARCH. Step 5: Identify ARIMA Structure The spikes suggest an ARIMA(5,0,0) structure. Test residual autocorrelation: A high p-value confirms a good ARIMA fit. Step 6: Fit GARCH(1,1) Check the model: The output will show parameter estimates, residual diagnostics, and persistence. Step 7: Visualize GARCH Diagnostic Plots The fGarch package offers 13 diagnostic plots, including: Conclusion: A Powerful Tool for Real-World Volatility Perceptive Analytics provides end-to-end BI solutions through its team of expert Microsoft Power BI consultants. As a trusted Power BI consulting company, we help organizations modernize reporting, automate workflows, and build scalable analytics systems tailored to their business goals.  ( 9 min )

1. Basic CMD These basic cmd are same structure for both docker and podman. # build image $ docker build -t -f /PATH/TO/Dockerfile $ docker image ls # run docker container -d detached $ docker run --name -d # check running contianers $ docker ps # check process in container $ docker exec ps $ docker rm --force : the directory/path that Docker sends to the daemon, containing: files referenced by COPY files referenced by ADD anything needed during build In short, BUILD_CONTEXT is the dir/path when the Dockerfile try to do the “COPY” or “ADD” operations it will searched dir/path. if you build the same image using docker build -t -f /PATH/TO/Dockerfile , it will …  ( 9 min )

Dynamics 365 CRM ekranlarına Power BI raporu gömmek, kurumsal karar alma süreçlerini hızlandırır ve operasyonel veriye analitik katma değer sağlar. Bu makalede Power BI Embedded mimarisi ile CRM ekranına dinamik, kullanıcı bazlı filtrelenmiş rapor entegrasyonunun nasıl yapılacağını adım adım anlatıyoruz. Hedef Açıklama CRM ekranına Power BI raporu ekleme WebResource (HTML/JS) veya custom control Dinamik veri yükleme CRM kaydına göre (örneğin çalışan ID) Kullanıcı bazlı filtreleme RLS (Row-Level Security) + embed token Güvenlik Azure AD OAuth2 + CRM Security model Performans DirectQuery veya Import + Incremental Refresh Azure Portal > App Registrations > New Application Ayar Değer API Permissions Power BI Service → Dataset.Read.All, Report.Read.All Authentication …  ( 7 min )

The Challenge: From Data Chaos to Clear Metrics Data engineers working in the health sector face a familiar but critical challenge: Community Health Workers (CHWs) generate thousands of activity records daily, but turning this raw data into actionable performance metrics is a manual, error-prone process. Field coordinators need to answer simple but vital questions: How many households did each CHW visit last month? Which communities have coverage gaps? Are our health workers meeting their activity targets? I worked on one such project where the existing process involved Excel exports, manual date calculations, and fragile SQL queries that broke whenever source data changed. Something had to change. I designed and built a scalable analytics platform using dbt (data build tool) and Snowfla…  ( 9 min )

The Problem I Was About to Create While building my NestJS backend, I almost made a rookie mistake: creating one big PATCH /users/:id endpoint that could update everything about a user—profile info, password, email, account status, role... you name it. On the surface, it seemed DRY (Don't Repeat Yourself). One endpoint, one DTO, one service method. Easy, right? Wrong. Very wrong. After some research and guidance, I learned about two critical principles: Single Responsibility Principle (SRP) Principle of Least Privilege Let me break down why they matter and how they apply to API design. The idea: Each class (or in this case, endpoint) should have ONE reason to change. When you have a single endpoint handling profile updates, password changes, email verification, AND admin operations, you'…  ( 8 min )

## Mobile-First: The Revolution in Web Design and How to Implement It In the world of web design, the way we approach the creation of websites and applications has undergone significant transformations. One of the most impactful philosophies is mobile-first, which places mobile devices at the center of the development process. Mobile-first means designing and developing a website or application starting with the experience on mobile devices (smartphones and tablets) before considering versions for desktops. The logic behind this is simple: Prioritization of Experience: Most users access the internet through mobile devices. By focusing on mobile first, we ensure that the user experience is optimized for the most used platform. Simplified Design: Smaller screens force the design to be mo…  ( 8 min )

## Mobile-First: A Revolução no Design Web e Como Implementá-la No universo do design web, a maneira como abordamos a criação de websites e aplicações tem passado por transformações significativas. Uma das filosofias mais impactantes é o mobile-first, que coloca os dispositivos móveis no centro do processo de desenvolvimento. Mobile-first significa projetar e desenvolver um site ou aplicativo começando pela experiência em dispositivos móveis (smartphones e tablets) antes de considerar versões para desktops. A lógica por trás disso é simples: Priorização da Experiência: A maioria dos usuários acessa a internet por meio de dispositivos móveis. Ao focar no mobile primeiro, garantimos que a experiência do usuário seja otimizada para a plataforma mais utilizada. Design Simplificado: Telas m…  ( 8 min )

🚀 Introducing LearnByte — Bite-Sized Learning From Creators, For Everyone Hi everyone! LearnByte — a lightweight platform for sharing short, impactful lessons. 👉 Live now: https://psjdeveloper.github.io/Learnbyt/#/lesson?id=1764173150765 I’ve always loved learning from creators — but most platforms today are either too big, too monetized, or filled with long-form content that takes hours to consume. I wanted something simple: No overwhelming UI No account required Just clean, fast lessons A place where creators can drop knowledge without friction So I built LearnByte — a tiny product with a simple mission: Make learning effortless. One byte at a time. Right now, LearnByte supports: 1. Bite-sized lessons Each lesson is fast to read and beautifully minimal. 2. Video + text support Up…  ( 7 min )

This article was originally published on the Rails Designer blog This year, just like last year, I offer a nice 30% off on both Rails Designer's UI Components (the first professionally-designed UI Components Library for Rails apps) and JavaScript For Rails Developers (make JavaScript your second-favorite language). 🤑 Enter BFCM2025 on check out to get a nice 30% off on both products! The coupon is valid until the 2nd of December. Enjoy it! 🎉 While you are here, let me highlight some of the cool OSS projects I have been working on: Perron Static Site Generator for Ruby on Rails. It is pretty cool and already some good-looking websites are built with it. I recently added a feature to automate content generation using data files (like CSV and JSON) which is great for things like programmatic SEO (the secret of many SaaS companies out there). Attractive.js A JavaScript-free JavaScript library. It works great with static sites, but I also use it for common functionalities that I previous created a Stimulus controller for. Less overhead, and thus shipping faster! Woohoo! Requestkit I have quietly published Requestkit: a local HTTP request toolkit for development. Test Stripe webhooks, GitHub hooks or any HTTP endpoint locally. Useful to see what payloads are sent out per endpoint. And so you can use it to make webhook/api requests with it too. Rails Icons Usage of Rails Icons is growing every day! Cool to see for such a humble, little gem. I pushed a new release recently to give you: encoded_icon and customisable animating icons.  ( 7 min )

Olá, Devs! 👋 Vemos novos apps de IA surgindo todos os dias, mas a maioria compartilha a mesma barreira de entrada: o usuário precisa baixar um aplicativo pesado, criar conta e aprender uma interface nova. Eu me perguntei: "Por que não levar a IA Generativa para o app que as pessoas já usam 24 horas por dia?" Então, decidi construir uma plataforma completa de processamento de imagens que roda inteiramente dentro do WhatsApp. 🏗️ Por baixo do capô: A Stack Técnica Backend: Java com Spring Boot (Arquitetura focada em microsserviços). Integração: WhatsApp Business API. Modelos de IA: Utilizamos Deep CNNs (Redes Neurais Convolucionais) e GANs (Redes Adversárias Generativas) para tarefas específicas como restauração e transferência de estilo. Infraestrutura: Oracle Cloud. ✨ O que ele faz na prática As capacidades atuais incluem: Restauração de Fotos Antigas: Recupera fotos danificadas/riscadas e coloriza imagens em preto e branco usando Vision Transformers. Estilização: Transforma selfies em cartoons 3D, Anime ou Caricaturas. Foto Profissional: Gera fotos corporativas estilo LinkedIn a partir de selfies casuais. Previsão de Bebê: Gera uma prévia do futuro filho de um casal com base nas características faciais. 🔒 Privacidade e Segurança Armazenamento Efêmero: Não guardamos fotos dos usuários permanentemente. Ponta-a-Ponta: Aproveitamos a criptografia nativa do WhatsApp. Compliance: Totalmente aderente à LGPD. 💸 Modelo de Negócio 🚀 Demo ao Vivo 👉 Testar o Bot no WhatsApp https://www.falconapps.org/bot-whatsapp Ficarei feliz em responder perguntas sobre a integração do Spring Boot com a API do WhatsApp ou os desafios de gerenciar filas de processamento de imagens! Happy coding! ☕  ( 7 min )

A year ago, if you'd asked me how to boost productivity, I'd have given you the standard advice: work harder, multitask better, attend more meetings. Turns out, that's exactly the wrong approach. Real improvement comes from working smarter. Here are three strategies that actually moved the needle for me. We're all drowning in information. Emails, meetings, Slack threads, endless to-do lists. The real productivity killer isn't the work itself – it's trying to remember what happened yesterday, why you made that decision, or where that critical feedback lives. 23 minutes – that's how long it takes to refocus after an interruption This "context drift" destroys more productivity than most people realize. Here's what actually works: Capture as you go. Don't trust your memory. Write down decision…  ( 9 min )

Stop wasting 15 minutes every morning on status updates. Here's how I built a system that writes my standups automatically—and actually makes them useful. If you're like most developers, your morning standup feels like this: scramble to remember what you did yesterday, mumble something about "working on tickets," promise to finish that PR today, then immediately forget what everyone else said. I used to spend 15 minutes every morning just preparing for a 5-minute standup. Multiply that by 5 days a week, and I was burning over an hour weekly on meeting prep alone. Here's the thing: standups aren't the problem. The manual status reporting is. So I automated mine. Completely. And it's been a game-changer. Daily standups exist for good reasons: Keep the team aligned on priorities Surface block…  ( 10 min )

No desenvolvimento de aplicações modernas, a escolha da infraestrutura de dados é tão crítica quanto a escolha da linguagem de programação. Este artigo explora o uso do PostgreSQL no ambiente gerenciado (DBaaS) da Magalu Cloud, detalhando os benefícios do modelo "as a Service", a robustez do motor PostgreSQL e um tutorial prático de implementação. Antes de entrarmos em comandos e configurações, é essencial entender a mudança de paradigma. Antigamente, gerenciar um banco de dados significava comprar hardware, instalar o sistema operacional, configurar o banco, gerenciar patches de segurança e configurar backups manuais. O modelo DBaaS (Database as a Service) remove o "trabalho pesado". Ao optar pelo DBaaS da Magalu Cloud, você transfere a responsabilidade da infraestrutura física e da manut…  ( 8 min )

Spring Boot 4.0.0 available now (2 min)🎉 https://spring.io/blog/2025/11/20/spring-boot-4-0-0-available-now Spring Data Ahead of Time Repositories - Part 2 (2 min)🏃 https://spring.io/blog/2025/11/25/spring-data-ahead-of-time-repositories-part-2 Who instruments the native instrumenters? (12 min)🏗️ https://mostlynerdless.de/blog/2025/11/20/who-instruments-the-native-instrumenters/ Heartbeats in Distributed Systems (25 min)💓 https://arpitbhayani.me/blogs/heartbeats-in-distributed-systems Monotonic Collections: a middle ground between immutable and fully mutable (4 min)📈 https://neilmadden.blog/2025/11/11/monotonic-collections-a-middle-ground-between-immutable-and-fully-mutable/ On Idempotency Keys (8 min)🔄 https://www.morling.dev/blog/on-idempotency-keys/  ( 11 min )

Hey Devs! 👋 We all know the feeling of those simple, yet frustratingly addictive games where "just one more try" turns into an hour of gameplay. That was exactly my inspiration. I wanted to create something that tests your reflexes to the limit, without complex mechanics or pay-to-win barriers. 🎮 The Concept It sounds easy, but it's all about rhythm and focus. You need to tap the screen continuously to keep your character alive. Tap too slow? Game over. Tap too fast? You might lose your rhythm when obstacles appear. It’s a pure test of endurance and reflexes. ✨ Key Features Infinite Gameplay: There is no end, only your high score. The longer you survive, the harder it gets (progressive difficulty). Free to Play: No hidden purchases or pay-walls to progress. It is 100% skill-based. Detailed Stats: As a dev, I love data. So I built a stats system where you can track your total playtime, best scores, and total taps. Offline Mode: No internet connection required to play. Achievements: Unlockable milestones to keep you motivated. 🛠️ Tech Stack & Performance 🚀 Try it out! You can download it for free on the Google Play Store: Download Endless Tap Survival And more here: falconapps.org/en/endless-tap-survival Let me know what your high score is in the comments! 👇 Happy coding (and tapping)! ⚡  ( 7 min )

In the previous chapters we looked at how params and searchParams work in Next 16. We then went over an example that we will be testing and finally setup Jest. We're now all ready to start writing some actual tests. The code for this example is available on github. Our example looks like this And consists of a page.tsx component, a client component for the buttons and a helper function validateSortOrder to validate the searchParams. Let's do this function first. This isn't relevant on this topic but the tests run different scenario's for our searchParams like: {}, { sortOrder: '' }, { sortOrder: 'asc' },... So, we handled this and no longer need to test it. Here is the function: export type SortOrderT = 'asc' | 'desc'; export function validateSortOrder( searchParams: A…  ( 11 min )

‘Two for the Money’ Rewatchables Breakdown Bill Simmons, Chris Ryan and Cousin Sal dive into the wild world of 2005’s sports-betting drama Two for the Money (starring Matthew McConaughey, Al Pacino and Rene Russo), all while placing their own imaginary Monday night parlays. They kick things off with a cold open before analyzing how the movie handles the highs and lows of wagering big, sharing plenty of behind-the-scenes trivia along the way. After hashing out the film’s best betting scenes, the crew picks their single most rewatchable moment and then fires off a rapid-fire “Categories” round to rank everything from standout performances to jaw-dropping plot twists. It’s equal parts film deep-dive and friendly smack talk—perfect for sports-movie junkies. Watch on YouTube  ( 6 min )

Sean Fennessey and Amanda Dobbins keep their 25 Best Movies of the 21st Century series rolling with No. 3: Spike Lee’s 25th Hour. They dive into why its real-time tension, bold stylistic choices and under-appreciated legacy make it a quietly powerful masterpiece. Produced by Jack Sanders, this lively chat is ripe with “fricative tension” analysis and is streaming on Prime. For more deep dives, hit up The Ringer’s channels. Watch on YouTube  ( 6 min )

Everything Wrong With KPop Demon Hunters In 16 Minutes Or Less CinemaSins’ latest roast tears into KPop Demon Hunters, gleefully clocking every over-the-top fight move, cringe-worthy K-pop trope and random product placement. From “demon horde” clichés and shaky CGI to cheesy one-liners set to a catchy soundtrack, no plot hole or camera flip is safe from their trademark snark. After the sins tally, they plug their poll, Patreon and all the socials—Discord, Reddit, TikTok, Instagram—along with a shout-out to their writers team and linktr.ee for more CinemaSins madness. Watch on YouTube  ( 6 min )

Everything Wrong With Mission: Impossible – The Final Reckoning squeezes all of CinemaSins’ trademark nitpicks into a rapid 27-minute roast, from Tom Cruise’s endless cheat-death stunts to over-the-top action set pieces. Expect witty jabs at plot conveniences and the film’s excessive spectacle. Even though the team still loves the franchise, they reckon the last two installments have lost a bit of that legendary M:I spark. Don’t forget to check out their site, socials, sinful poll and Patreon for even more movie sins. Watch on YouTube  ( 6 min )

This is a tech log but my tech gang needs to hear this. People say you can't work without a healthy body. True. What I realized: you also can't workout without actually working, like being productive during the day. If I'm scrolling all day, doing nothing productive, my brain's mush. When I go to the gym with a mush brain, I can't lift properly. The connection isn't there. But when I'm actually working—coding, building, solving problems—my brain's sharp. And when my brain's sharp, my body responds. I lift better. Move better. Everything clicks. It's a loop. Work feeds workout. Workout feeds work. Mess up one side and the whole thing falls apart. "Don't ask me to love myself. You'll be doomed cause I hate everyone once I start loving myself." Been sitting with that one. Not sure if it's tru…  ( 7 min )

Баланс транзакцій: як уникнути подвійних ставок та подвійних виплат У світі онлайн-казино кожна помилка в обробці транзакцій може коштувати тисячі доларів. Подвійні ставки, подвійні виплати, race conditions — це реальні проблеми, з якими стикається кожна платформа під навантаженням. Розглянемо перевірені рішення. Часова лінія: T0: Гравець робить ставку $10 T1: Провайдер відправляє callback #1 (bet $10) T2: Callback #1 обробляється, баланс: $100 → $90 T3: Провайдер не отримав відповідь (network timeout) T4: Провайдер відправляє callback #2 (той самий bet $10) T5: Callback #2 обробляється, баланс: $90 → $80 ❌ Результат: гравець втратив $20 замість $10 Гравець відкрив гру в двох вкладках браузера: Thread A: Ставка $5, читає баланс $100 Thread B: Ставка $5, читає баланс $100 Thread A: Пиш…  ( 12 min )

INTRODUCTION If you’ve ever launched an EC2 instance on AWS, you were already working inside a Virtual Private Cloud (VPC). A VPC is essentially the virtual network that controls all your networking activities. Its setup determines how different parts of your infrastructure communicate with each other and how they access the public internet. In this project, the goal is to build an environment where an auto-scaling group automatically handles the provisioning and termination of EC2 instances, while elastic load balancers evenly distribute incoming traffic across those instances. DEFINITION OF TERMS VPC: Subnets: Internet Gateway: Load Balancer: Route Table: Launch Template: High Availability: USE CASES Being able to scale a web application and evenly distribute incoming traffic across mult…  ( 13 min )

NextGen Tools: Product Launch Platform to Showcase Your AI and SaaS Tools Get discovered with NextGen Tools, a product launch platform built for developers and startups. Submit your tool, get featured, and drive early traffic and credibility for your project. Visit the site here: https://www.nxgntools.com/ Launch platform for AI, SaaS, and dev tools. Categorized listings for discoverability. Trending sections for exposure. Simple submission workflow. Gain early feedback and users. Public listings generate backlinks that improve SEO. Reach developers and founders efficiently. Startup founders launching new tools. Independent developers seeking exposure. Small teams exploring productivity and AI apps. Makers looking for early adoption and growth. Each tool listing targets product launch keywords. Blog posts, guides, and curated lists increase visibility. Proper metadata and links improve search engine ranking. Top AI tools for developers. Best productivity apps for startups. Launch case studies for small teams. Tutorials for featured tools. Curated top tools per category. Submit your tool on NextGen Tools. Get discovered, gain early users, and benefit from SEO-friendly listings.  ( 6 min )

Boost Your Startup with NextGen Tools – A Product Launch Platform That Works Your product deserves an audience. NextGen Tools acts as a product launch platform to highlight your AI or SaaS tool, helping you reach developers and founders while increasing SEO reach through structured listings. Visit the site here: https://www.nxgntools.com/ Launch platform for AI, SaaS, and developer tools. Easy-to-use interface for submissions. Featured and trending sections for exposure. Categorized listings for discoverability. Gain credibility, traffic, and feedback early. Listings provide SEO-friendly backlinks. Your product reaches developers and founders efficiently. Developers looking for innovative tools. Founders and startup teams. Makers seeking exposure. Small teams exploring productivity and AI apps. Long-tail keywords help each listing rank. Publish related blog posts or tutorials to expand search reach. Internal linking connects tools and content to enhance SEO. Launch stories of successful tools. Tutorials on productivity and dev tools. Best AI and SaaS tools lists. Guides for founders on product launches. Case studies on small startup growth. Submit your product on NextGen Tools. Gain visibility, reach early adopters, and grow your startup efficiently.  ( 6 min )

NextGen Tools: The Product Launch Platform for Developers and Founders Stop struggling to get your product noticed. NextGen Tools is a product launch platform where you can list your AI or SaaS tool, reach early adopters, and boost online visibility. Visit the site here: https://www.nxgntools.com Dedicated product launch platform for developers. Categorized listings for easy discovery. Trending sections to highlight new tools. Simple submission workflow for founders. Early exposure drives credibility and feedback. Listings include backlinks that improve SEO. Developers and founders gain a direct audience for their product launch. Independent developers discovering tools. Founders launching new SaaS or side projects. Small teams seeking productivity apps. Makers needing early traction and feedback. Targeted listings provide long-tail keyword visibility. Launch posts and guides improve search performance. Internal and external linking enhances search engine trust and authority. Best AI tools for startup founders. Productivity apps for small development teams. Case studies of successful product launches. Tutorials and usage guides for featured tools. Curated top tool lists per category. Submit your tool to NextGen Tools today. Reach the right audience, get early adopters, and benefit from SEO-friendly listings.  ( 6 min )

A few months back, the tech world got hit with a wave of panic-inducing headlines. CEOs and tech leaders were on stages everywhere claiming that massive percentages of their code was now AI-generated. If you weren't on board, you were basically toast. This kicked off what I can only describe as a spending frenzy. Companies started signing six and seven-figure contracts for AI coding tools, desperate not to fall behind. The question everyone was asking was simple: "How do we get our entire team using AI?" Now? The conversation's changing. The companies that jumped in early are starting to ask a much harder question: "Is this actually worth it?" We've moved past the hype cycle into the messy reality of execution. Instead of "Are we using AI?" teams are asking "Are we using it well?" And here…  ( 11 min )

Launch Your Product Faster with NextGen Tools – The Ultimate Product Launch Platform Visit the site here: https://www.nxgntools.com Finding early users for your startup or side project is hard. NextGen Tools provides a product launch platform that helps developers and founders showcase their tools, get feedback, and gain exposure with a do-follow backlink. Product launch platform for AI, SaaS, and developer tools. Clear categories to make your tool easy to discover. Featured sections highlighting trending launches. Simple interface to submit and manage your launch. Developers and founders save time while gaining visibility. Public listings drive early traffic and credibility. Backlinks from the platform improve SEO rankings. Your product reaches the right audience faster. Developers looking for productivity and AI tools. Startup founders seeking early adopters. Small teams exploring automation and workflow support. Makers looking for exposure and feedback. Each tool listing targets long-tail keywords. The platform’s structure supports search traffic for product launch terms. Add blog posts, guides, and “top tools” collections to capture broader search queries. Optimize metadata, titles, and URLs for better ranking. Top AI tools for developers in 2025. Best productivity apps for coding teams. Tools supporting finance, gaming, or education work. Launch stories from makers who ship new products. Step-by-step tutorials for featured tools. Submit your tool on NextGen Tools today. Get discovered, gain early users, and enjoy SEO benefits. Explore the directory to find tools that help you grow your projects.  ( 6 min )

Quality is subjective. Architecture is judgemental. So how on earth do we measure it? Every architecture review, every design workshop, every committee meeting eventually hits the same wall. Someone asks: “But is this actually good?” We pretend the answer lives in metrics. Response times. Availability. Coupling scores. Maturity models. Dashboards filled with comforting colours. We convince ourselves that if the numbers are green, the architecture is good. That is the uncomfortable reality: half the time, those numbers are illusions. They tell part of the story. I’ve witnessed perfectly green dashboards collapse the moment real business pressure appeared. Two architects can stare at the same design and read entirely different realities. One sees elegant decoupling. The other sees over-e…  ( 8 min )

Artificial intelligence is changing how the world writes code. What once took hours can now take minutes. Bugs that used to hide in your code can now be spotted instantly. And ideas that live only in your head can turn into real software with the help of smart AI tools. Developers at every level, from beginners writing their first script to senior engineers working on massive systems, are using AI to work faster, build better, and learn more than ever before. And the best part? You don't have to be an expert to get started. This guide will walk you through 12 AI coding tools every developer should use right now. These tools help you write code, fix code, understand code, test code, and even create new features from scratch. Each tool comes with: A simple explanation Why it's useful Pros an…  ( 19 min )

Textual is a Python framework for building modern, interactive text-based user interfaces (TUIs) in the terminal. It allows developers to create rich layouts, widgets, tables, and interactive components, all with a responsive design similar to web applications. Textual leverages asyncio for smooth updates and is ideal for dashboards, CLI apps, and terminal-based tools that need a polished, graphical feel without a GUI. Installation: pip install textual Example usage: from textual.app import App, ComposeResult from textual.widgets import Header, Footer, Button, Input class MyApp(App): def compose(self) -> ComposeResult: yield Header(show_clock=True) yield Input(placeholder='enter name...') yield Button("Click Me") yield Footer() MyApp().run() PyPI page: https://pypi.org/project/textual/ https://github.com/Textualize/textual 3 Project Ideas: Build a real-time terminal dashboard for monitoring system metrics. Develop a text-based file manager with interactive navigation. Create a multi-widget CLI application for task management.  ( 6 min )

Look, my client spent $100 to $150 last month on Clerk for a project with around 15,000 users. That's when I realized there might be a better way. Don't get me wrong. Clerk is amazing. Beautiful UI. Works out of the box. Perfect for quick projects. But here's the problem. You hit 10,000 users? That's $25/month. Add organizations? Extra $100/month. Want MFA? Another $100/month. SSO? $50 per connection. Suddenly, your "simple" auth costs more than your server. So I tested 7 open source alternatives. Here's what I found. Before we dive in, let's be fair to Clerk. They nail the developer experience. Drop in their components, and boom. You have login, signup, and user profiles. No thinking required. Their multi-tenancy is excellent. Organizations work perfectly. The dashboard is polished. Bu…  ( 9 min )

Hey there! Welcome to the only Next.js + Docker guide you’ll ever need in 2025. Ship a real Next.js 15 app in a container smaller than 90 MB Let’s go – coffee ready? What You’ll Build Today < 90 MB Docker image Multi-stage build (no dev dependencies in production) Non-root user + health checks Hot reload for development One-command workflow for the whole team Works everywhere: local, CI, GitHub Codespaces, Gitpod Prerequisites Node.js ≥ 18 (preferably 20 or 22) → https://nodejs.org Check with: node -v Git → https://git-scm.com/downloads Check with: git --version Docker Desktop (Windows/Mac) or Docker Engine (Linux) → https://www.docker.com/products/docker-desktop Check with: docker --version and docker compose version (Compose V2 is now built-in) If any of these are missing, install the…  ( 11 min )

There's a strange paradox in enterprise technology right now. Every organisation is talking about AI. Every board wants it. Every CIO feels the pressure to "deploy something meaningful, fast." But behind the excitement, there's a quieter truth most leaders know but rarely say out loud: AI fails more often than it succeeds. 60-80% Why AI Projects Fail: A Pattern Every CIO Recognises 1.1 AI Projects Start Without a Real Business Problem "We want predictive analytics." Smart CIOs flip the model: They start with the pain point, not the aspiration. 1.2 The Data Isn't Wrong — It's Contextually Blind AI models fail when: CMDB is incomplete 1.3 There Is No Governance Framework for AI Decisions Without governance, teams hesitate around: Who approved an AI-driven action? Human-in-the-loop policies 1…  ( 10 min )

‘Two for the Money’ Rewatchable Breakdown Bill Simmons, Chris Ryan and Cousin Sal dive back into the 2005 sports thriller Two for the Money, starring Matthew McConaughey, Al Pacino and Rene Russo. They kick things off with a cold open before digging into the film’s high-stakes betting scenes (1:53), debating the single most rewatchable moment (30:13) and rolling out their signature “Categories” segment at 48:33. Along the way you get that classic Ringer camaraderie—sharp takes, playful jabs and a favorite Monday night parlay vibe—peppered with sponsor shout-outs from Subaru’s Share the Love event and a friendly State Farm reminder. It’s part sports analysis, part movie club, and all about the gamble. Watch on YouTube  ( 6 min )

Everything Wrong With KPop Demon Hunters In 16 Minutes Or Less CinemaSins just dropped their signature “Everything Wrong With…” breakdown of the KPop Demon Hunters flick, packing their usual snarky quips into a fast-paced 16-minute roast. If you’re craving more nerdy movie sins, hit up their main site, check out @TVSins, @commercialsins, @cinemasinspodcastnetwork on YouTube and stay tuned via their Linktree. They’re running a fun audience poll, inviting you to become a Patreon supporter, and showing off a crack team of writers (Jeremy, Chris, Aaron, Jonathan, Deneé, Ian and Daniel). Plus, you can join the CinemaSins community on Discord, Reddit or follow them on Instagram and TikTok. Watch on YouTube  ( 6 min )

CinemaSins unleashes a 27-minute takedown of Mission: Impossible – The Final Reckoning, poking fun at Tom Cruise’s nonstop stunt game while lamenting that the once-flawless franchise might be veering off course. It’s the crew’s final reckoning for the series (for now), packed with classic CinemaSins humor and sin-counting. Hungry for more? Hit up cinemasins.com, subscribe across their social channels, fill out their sinful poll, or show love on Patreon. Writers Jeremy, Chris, Aaron, Jonathan, Deneé, Ian, and Daniel all get shout-outs, and you can join the community on Discord, Reddit, Instagram, and TikTok. Watch on YouTube  ( 6 min )

I've been taught by the best to always use it. It makes code clean even though it's a hell to maintain sometimes. I'm an avid user and perhaps a fan, since it makes JavaScript feel like the other tier-one languages, e.g., Java (I know I said tier 1 language). But if I were to be sincere, I've never had it save my ass on any one day. Maybe until today. I've got myself running a project that works with React Native on the front end and Express/Supabase on the Backend. The mobile app stack, I'll swear by the way. Everything is working pretty well until I was working on the authentication, and since I was handling different user roles, I needed to dynamically store user data. To put it explicitly, I was building a pharmacy mobile app for a client that will handle customer, driver, consultation…  ( 7 min )

Introduction When we talk about the Internet, it's so important that saying "it's used like this, it's a must-have" would sound too simple. We'll take a look at how the magic behind the internet actually works. What's happening in the background when you visit a webpage, send a message, or watch a video? In this guide, we'll take a journey from the basics of the internet towards the most important building blocks of network diagnostic tools. We'll examine the ICMP protocol, ping command, and advanced network diagnostics tool MTR in depth. We're looking under the hood. The story of the internet begins in the late 1960s during the Cold War era. The Advanced Research Projects Agency (ARPA) unit of the US Department of Defense wanted to develop a communication network that could withstand a …  ( 18 min )

Introduction Distributed systems expertise remains one of the most sought-after skills in software engineering. Engineers who can design, implement, and scale distributed databases command premium compensation for good reason—these systems form the backbone of modern applications serving millions of users. In this comprehensive guide, we'll build a highly available, horizontally scalable MongoDB cluster using Kubernetes. You'll learn how to create a production-ready database infrastructure that can grow from a single node to hundreds of nodes, scaling seamlessly to meet demanding workloads. Our infrastructure leverages three powerful open-source technologies: MongoDB: A distributed NoSQL database designed for horizontal scalability and high availability MicroK8s: An ultra-lightweight Kub…  ( 14 min )

I just launched my portfolio https://my-portfolio-jamal.vercel.app/#contact  ( 6 min )

Artificial intelligence has become the backbone of modern customer support, reshaping how businesses communicate, assist, and retain their customers. AI chatbot solutions, in particular, are leading this transformation by delivering instant responses, automating repetitive tasks, and elevating the customer experience across various industries. As consumer expectations rise and digital interactions become the norm, companies are rapidly adopting AI-driven tools to stay competitive. Let’s explore how AI chatbots are revolutionizing customer support and why they’re becoming essential assets for any forward-thinking business. Instant, 24/7 Customer Support One of the biggest advantages of AI chatbots is their ability to provide round-the-clock assistance. Unlike human agents who require brea…  ( 9 min )

Build a SaaS Admin Dashboard with React, Shadcn UI & TypeScript In this video, you will learn how to build a modern SaaS Admin Dashboard using React, Shadcn UI, and TypeScript. We will build a professional "Vendor Security" interface featuring responsive charts, advanced data tables with sorting and pagination, and a beautiful dark mode UI. By the end of this tutorial, you will have a production-ready dashboard template that you can use for your own SaaS projects or client work. 🔗 Essential links Assets: https://drive.google.com/file/d/11u2nuU8XYKQk7W7onWxAWZVCnh3l6pk6/view?usp=sharing GitHub gist: https://gist.github.com/codewithsadee/425d0351bfd082cb47109e6daa2d5335 Source Code: https://www.patreon.com/posts/new-react-source-144446490?utm_medium=clipboard_copy&utm_source=copyLink&utm_campaign=postshare_creator&utm_content=join_link Source Code2: https://buymeacoffee.com/codewithsadee/e/482916 📝 What You Will Learn in This Course: 🛠️ Tech Stack Used: ⭐️ Timestamps: 👋 Connect With Me: https://x.com/codewithsadee_ https://instagram.com/codewithsadee https://linkedin.com/in/codewithsadee  ( 7 min )

Introduction Developers at top tech companies deploy code with a simple git push. They provision databases with a Slack command. They view production metrics in seconds. Meanwhile, at many companies, developers wait days for infrastructure tickets, struggle with complex deployment processes, and can't debug production issues without asking DevOps for help. This is the promise of Platform Engineering: building internal developer platforms that give developers self-service capabilities while maintaining security, reliability, and cost control. It's about treating your infrastructure as a product, with developers as your customers. In this comprehensive guide, we'll explore how to build effective internal developer platforms that accelerate development without sacrificing control. Platform …  ( 13 min )

Introduction Let's dive into the core components that form the backbone of Azure. 1. Regions and Availability Zones: Global Reach, Local Resilience Imagine a global network of interconnected data centers. That's essentially what Azure provides, organized into Regions and Availability Zones. Azure Regions: A region is a geographical area that contains one or more data centers. Think of them as massive, independent data center hubs located across the globe (e.g., "East US," "West Europe," "Southeast Asia"). Choosing the right region is crucial for data residency, compliance, and minimizing latency for your users. Availability Zones (AZs): Within many Azure Regions, you'll find Availability Zones. These are physically separate locations within an Azure region, each with independent power, coo…  ( 8 min )

Most UI tests today still look like this: you code the steps, you hard-code selectors (IDs, XPath, CSS), you pray they don’t break on the next release. This works… until: the accessibility tree is a mess, the app runs inside a WebView, the UI is legacy or hybrid, or there is no reliable locator at all. At that point, traditional automation just gives up. I’ve been working on a different approach: Instead of hard-coding selectors and steps, let an AI agent build the locator and the action at runtime. This is what our project, AI Agent, is about. 🚀 AI Agent is open source & early-stage. If this resonates with you, please ⭐ star the repo: 👉 https://github.com/aidriventesting/Agent It helps a lot with visibility and future sponsorship. AI Agent is an open-source project that plugs into yo…  ( 9 min )

In September 2025, the Intergenerational Open Geospatial Carbon Registry (OGCR) was officially launched under the funding of Horizon Europe, marking a major step forward in the creation of an open, transparent, and scientifically robust framework for carbon accounting across the EU. The initiative brings together more than thirty partners, including universities, research institutes, SMEs and NGOs, and aims to run through 2029, with an investment of €11.5 million. The project’s ambition is broad: to offer Europe’s 9.1 million farmers and forest managers simple, affordable tools to measure, verify, and certify carbon sequestration and ecosystem-service benefits from their land-management practices. At the heart of OGCR’s innovation is the creation of harmonized, updateable baseline data on soil carbon along with biomass and peat carbon. These geospatial carbon baselines, scalable from local to pan-European level, are intended to underpin fair, transparent certification and remuneration under the upcoming framework of Carbon Removals Certification Framework (CRCF). Original article posted in Italian on Materia Rinnovabile  ( 6 min )

The hacker's black magic trick of saving money and effort by merging AI with the MCP server. This is a guideline on how to quickly summarize the job list on Indeed. This is for educational purposes; always respect robots.txt and site policies to avoid bans. Before completing this work, you need: Node.js download Claude download/Cursor download This tutorial 😀 with recommended prompts attached at the end for reference. Open the Claude desktop app and log in. The main interface looks like the image below. If there's no sidebar on the left, click the Toggle sidebar icon in the upper left to open it: Click on your avatar in the bottom left, go to Settings, scroll down, find Developer, and click to enter the following page: Copy the following standard config (using Playwright MCP serve…  ( 7 min )

As Flutter developers, we've all been there. Your app crashes in production, users abandon it, and you don't find out until the 1-star reviews start rolling in. Traditional crash analytics tools are great, but they come with their own problems: complex setup, vendor lock-in, privacy concerns, and that dreaded delay before you actually see what went wrong. What if you could get crash reports instantly, exactly where your team already communicates? Don't get me wrong — tools like Firebase Crashlytics and Sentry are powerful. But they have downsides: Delayed notifications: You often learn about crashes hours later Context switching: Checking another dashboard breaks your flow Privacy concerns: Sensitive data going to third-party servers Overkill for small teams: Full-featured analytics when y…  ( 9 min )

You're Not Building Netflix: Stop Coding Like You Are Adam - The Developer ・ Nov 23 #webdev #programming #architecture #typescript  ( 5 min )

JavaScript is about to reach a pivotal period, not because of all the fuss but rather because the web is changing more quickly than ever. By 2026, JavaScript will be the fundamental component of almost all digital interactions, not merely a programming language. The lines between frontend, backend, and edge are blurring, and JS is at the nexus of these borders, enabling intelligent, fast, and immersive experiences. You're not mistaken if you've ever thought that the ecology moves too swiftly. However, 2026 is seeing a shift in direction rather than noise. And in the upcoming years, the behaviour, scalability, and feel of digital goods will be shaped by developers who know where JavaScript is headed. The language is developing to the point where writing is actually fun. Stronger type …  ( 9 min )

Go’s approach to error handling is simple but powerful—when used correctly. Returning errors explicitly Sentinel errors & errors.Is Wrapping with %w Custom error types Logging best practices Panic & recover safely Error handling in goroutines Mapping errors in APIs Real-world patterns and examples If you want to level up your Go error-handling skills, this one’s for you. 🔗 Read the full tutorial: https://www.djamware.com/post/6926eda9eca0e67f5e7d5d34/error-handling-in-go-idiomatic-patterns-for-clean-code  ( 6 min )

See the Forest for the Trees: Unveiling Data Insights with Connection Maps Ever felt lost in a mountain of data, struggling to see the bigger picture? Are hidden patterns eluding your standard analytical tools? Imagine effortlessly transforming raw data into clear, intuitive visual representations of complex relationships. Connection Maps offer a powerful solution. Think of them as blueprints showing how different data points interact within a system. These maps are essentially labeled graphs where lines represent connections and nodes represent data points. The connections showcase how information flows or depends upon other data. For instance, it could show dependencies between microservices or the sequence of steps to build a complex product. This visualization method allows us to ex…  ( 7 min )

Microsoft’s Xbox Series S is the breakout star of Black Friday 2025. The compact console is selling for a compelling $349 at major retailers. This price makes it the most affordable gateway into the current generation of gaming. The deal is available now through the holiday shopping weekend. 🔴👉 https://tinyurl.com/y4szx7ju Xbox Series S Black Friday Gamers are flocking to this offer for its unmatched value. According to Reuters, early sales data shows a significant spike in Xbox Series S transactions. This trend highlights a strong consumer shift toward budget-conscious entertainment. Why The $349 Price Point Is a Game-Changer Its integration with Xbox Game Pass is the killer feature. Subscribers get immediate access to a vast library of games. This combination of affordable hardware and a rich software library presents a complete, low-cost ecosystem. Breaking Down The Console’s Capabilities The main compromise is its digital-only nature. There is no disc drive for physical media. This makes a stable internet connection essential for downloading games and updates. Market Impact and Consumer Choice The long-term effect benefits the entire Xbox ecosystem. More consoles in homes drive Game Pass subscriptions and digital game sales. This creates a recurring revenue model for Microsoft that extends beyond the initial hardware sale. The Xbox Series S at $349 is a near-perfect Black Friday deal for anyone entering the current console generation.  ( 6 min )

One wrong API endpoint in production can cost you users and revenue instantly. Shipping code that accidentally points to a test database—or worse, hits live data with test parameters—is a developer's nightmare. You need distinct boundaries. Managing these boundaries using multiple environments is the standard for 2025 web development. It keeps your development fast, your staging safe, and your production secure. This guide explains how to handle multiple environments in React, covering the modern transition to Vite, maintaining legacy Create React App projects, and managing Dockerized deployments. Most professional teams work across at least three stages: Development, Staging (QA), and Production. Each needs its own set of rules. Hardcoding these values is fragile and dangerous. Using envi…  ( 12 min )

In the modern digital landscape, businesses are increasingly relying on software-as-a-service (SaaS) solutions to drive efficiency, deliver better customer experiences, and scale operations. While off-the-shelf software can be a quick fix, it often falls short when a business has unique processes, specialized requirements, or plans for rapid growth. This is where custom SaaS development comes into play, offering businesses a tailored solution that adapts perfectly to their needs. Software Development Hub (SDH) specializes in building custom SaaS platforms that are designed to scale, save costs, provide full customization, remain future-proof, and accelerate time-to-market. Let’s explore the key benefits of opting for a custom SaaS solution. One of the most critical advantages of custom Saa…  ( 9 min )

If you’ve ever built workflows in Zapier, Make, or custom code, you already know the truth: n8n is powerful, but building complex workflows, API calls, loops, conditions, error handling-can feel overwhelming for beginners and time-consuming for pros. So I tested something different: The result: It worked. In minutes. And the best part? Why Developers Are Turning to LLMs for Automation A common question from Google’s People Also Ask: “Can AI build no-code workflows?” AI is finally good enough to move from suggestions → actual implementation. generating workflow architecture writing n8n expressions creating conditional logic generating regex for webhooks handling pagination & loops producing clean API call formats This means instead of manually assembling 20+ nodes, The Real Experiment: Bu…  ( 8 min )

Most crypto trading still relies on centralized systems; fast, yes, but fragile. A decentralized exchange flips that model entirely. With trustless execution, transparent mechanics, and user-owned assets, developers finally get a foundation that’s predictable, verifiable, and free from middlemen. That’s the direction we’re taking with Haveto: True ownership → no third-party custody Peer-to-peer trading → secure by design Transparent execution → every interaction verifiable on-chain High throughput → smart sharding keeps performance smooth For anyone exploring decentralized infrastructure or designing trading experiences that don’t depend on centralized control, this is a space worth paying close attention to. Would love to hear how you’re approaching decentralized trading, or what features matter most to you as a developer.  ( 6 min )

Spring is paradoxical. It “solves” problems it created — and trained a generation of developers to understand Spring, not software engineering. Dependency Injection everywhere (even when there’s 1 implementation). Interfaces for everything (even when there’s 1 implementation). Annotations as the new programming language. And @Transactional as a magical forcefield masking the fact that no one understands what should actually be atomic. JDBC? SQL? DB design? Transaction boundaries? Most Spring shops never touch them directly — they let the framework decide. The result: the classic Enterprise Java Happy Meal. Dumb, anemic JPA entities Procedural service classes with 10+ injected dependencies DTO ↔ Entity mapping hell Mock-infested tests AOP/DI voodoo that “just works” until it re…  ( 9 min )

Multitenancy in Yii2: Practical Guide and Code Examples Multitenancy is a powerful architectural pattern that allows a single application instance to serve multiple tenants (clients or organizations), keeping their data isolated. Yii2, being a flexible PHP framework, can be adapted for multitenant applications in several ways. In this article, I'll show you how to implement a basic multitenant setup in Yii2, including code snippets and best practices. Single Database, Shared Schema: All tenants share the same tables, with a tenant_id column to separate data. Single Database, Separate Schemas: Each tenant has its own set of tables (schema). Multiple Databases: Each tenant has a dedicated database. For this example, we'll use the Single Database, Shared Schema approach, which is common and…  ( 7 min )

Last week, I spent over two hours helping a client build an AI-powered chatbot for their wellness e-commerce site. I set up a sophisticated RAG system using Cloudflare Vectorize, wrote custom vectorization scripts, and carefully configured Workers AI bindings. The client was pleased with the work. Everything functioned perfectly. Then, fifteen minutes after our session ended, he messaged me: "I just built the same thing using AI Search in 15 minutes." I had over-engineered a solution that could have been 10x simpler. Here's what happened, what I learned, and how to choose the right approach for your project. My client runs an e-commerce site selling wellness teas and supplements. He was spending 2-3 hours daily answering the same questions: "What are the ingredients in LuluTox Detox Tea?" …  ( 11 min )

You’ve written solid Playwright tests. “Test failed: should complete checkout flow” No clear reason. This isn’t a tooling problem. test structure problem. Most Playwright tests look like this: js test('should complete checkout flow', async ({ page }) => { await page.goto('/products'); await page.click('[data-testid="add-to-cart"]'); await page.click('[data-testid="checkout-button"]'); await page.fill('#email', 'user@example.com'); await page.fill('#card-number', '4242424242424242'); await page.click('[data-testid="place-order"]'); await expect(page.locator('.confirmation')).toBeVisible(); }); When this test fails, the report shows one generic failure. Adding to cart Navigating to checkout Typing payment details Or clicking “Place order” So your team ends up: Downloading mul…  ( 8 min )

The following is the source code of a hash table, written in dynahash.c struct HTAB { HASHHDR *hctl; /* => shared control information */ HASHSEGMENT *dir; /* directory of segment starts */ HashValueFunc hash; /* hash function */ HashCompareFunc match; /* key comparison function */ HashCopyFunc keycopy; /* key copying function */ HashAllocFunc alloc; /* memory allocator */ MemoryContext hcxt; /* memory context if default allocator used */ char *tabname; /* table name (for error messages) */ bool isshared; /* true if table is in shared memory */ /* freezing a shared table isn't allowed, so we can keep state here */ bool frozen; /* true = no more inser…  ( 19 min )

AI-assisted coding has been evolving fast, but until now, it often felt like a patchwork solution. You ask for a snippet, get a block of code, and try to fit it into your project. Sometimes it worked. Sometimes it broke everything. Enter Google Antigravity—a shift that changes how AI integrates with development workflows. Breaking Work into Smaller, Manageable Parts One of the biggest hurdles with AI coding has been context. Traditional AI tools are great at generating code snippets but struggle to understand the flow of your project. Antigravity tackles this by connecting directly to your editor and understanding the full codebase. This means it can: Run commands in your terminal automatically Install dependencies on its own Build and place components in the correct folder Test frontend features in a browser and fix issues on the spot This is more than autocomplete. It’s collaboration at a new level. Towards Enterprise-Grade AI Development Antigravity feels like the first step toward full enterprise AI tools. Imagine: Shared workspaces for your team Project-level memory that remembers context across sessions Secure team access and version history Real workflow integration instead of isolated AI snippets AI is no longer just assisting—it’s becoming part of the development workflow, capable of handling real projects end-to-end. What This Means for Developers This approach promises cleaner components, easier debugging, and a smoother workflow. It’s a vision of AI as a true partner in coding, not just a code generator. I’m excited to see how far this can go. Could we soon have AI tools that function like a full teammate, understanding projects, maintaining context, and supporting real development just like enterprise software does today? What do you think? Could this change the way we code professionally?  ( 7 min )

Hello DEV Community! 👋🏾 I work around: Lead generation & data sourcing Automation tools Web scraping & digital workflows Productivity systems Community building and digital media I joined DEV because I want to: Connect with developers Learn new tools and techniques Share ideas about automation and data processes Grow my skills through community discussions and feedback I’m looking forward to sharing what I know, learning from others, and contributing value where I can. See you around in the comments and threads 😊  ( 6 min )

This is a long read. Feel free to skim the headings and jump to what you care about. TL;DR: Code reviews shift from reviewing code to reviewing specs, plans, and rules Design the whole Spec → Plan → Test → Implementation cycle, not just specs Small teams (2-3 people) work better — scale by adding teams, not people Run quality checks in isolated contexts to avoid LLM shortcuts Document implicit knowledge explicitly — LLMs can't read your mind As LLMs become part of the core development workflow, many of our long-standing processes start to break down. In this post, I'll walk through what changes, why it matters, and how teams can adapt. Much of what I write here comes from building and maintaining a company-internal chatbot on my own, and later open-sourcing the framework behind it. Working…  ( 15 min )

You built a killer API for vector similarity search. You've polished the docs, set up the billing, and pushed to production. Then... crickets. Your dashboard shows a flat line, and the only traffic comes from Googlebot and your own IP address. Sound familiar? For niche B2B companies targeting developers, the standard SEO advice of "write blogs and build backlinks" is a recipe for frustration. You're not selling sneakers; you're selling a highly specialized solution to a complex problem. You don't need a million visitors; you need a dozen qualified buyers who understand the pain point you solve. This is the playbook for ranking for high-intent keywords that attract qualified leads—the engineers who will champion and buy your product. The biggest mistake B2B tech companies make is chasing hi…  ( 9 min )

Accessibility has become one of the most important pillars of modern web development. With Angular 21, the framework takes a huge leap forward with Angular Aria, a brand-new package that delivers headless, accessibility-ready UI patterns out of the box — without enforcing any styling or visual design. Angular Aria brings powerful, production-ready accessibility to your custom UI components while giving you full control over markup and CSS. If you’re building design systems, enterprise dashboards, or any rich interactive UI, this new feature dramatically reduces the complexity of building accessible components. Angular Aria is a new library introduced in Angular 21 to standardize accessibility behaviors for commonly used interactive UI patterns. It handles: ARIA roles & attributes Keyboard …  ( 8 min )

Meta's Advantage+ Creative promised to revolutionize ad performance with AI-powered optimization. Another day, another AI feature that'll supposedly fix everything while you sleep. Except here's the thing: after running 50 campaigns across e-commerce, B2B, and lead gen clients over the past eight months, I've got data that'll probably surprise you. Some of it matches what Meta's case studies claim. A lot of it doesn't. Let me walk you through what actually happened when we let Meta's AI take the wheel—and when we should've grabbed it back. Before we dive into results, context matters. We ran these tests across: 23 e-commerce brands (average monthly spend: $15K-$75K) 18 B2B companies (SaaS, professional services, manufacturing) 9 lead generation campaigns (education, finance, healthcare) To…  ( 13 min )

Problem Statement Git Flow and GitHub Flow are two Git branching strategies that help teams collaborate on code without stepping on each other's toes—you pick one when your repo starts feeling chaotic during feature development or releases. You encounter this daily when juggling multiple features, hotfixes, or deploys: one dev merges a breaking change, another can't test locally, and suddenly everyone's yelling in Slack. Choosing the right flow keeps your main branch stable and ships code faster. Both strategies organize Git branches to isolate work, but Git Flow is structured for planned releases, while GitHub Flow prioritizes simplicity and constant integration. master: Always production-ready code. develop: Integration branch for ongoing work. feature/ branches: Off develop for new fe…  ( 7 min )

Multilingual content is common in documentation systems, product catalogs, and knowledge bases. When the same item exists in several languages, search results often become cluttered with multiple versions of the same document. A typical requirement is to return one document per content group, chosen using a language preference order such as de > en > fr. This blog post presents a practical pattern for handling language aggregation. The approach is part of the open-source OpenSearch project and is fully supported in Amazon OpenSearch Service, making it suitable for both self-managed clusters and AWS-managed environments. If an article exists in German, English, and French, a standard search will return all three. You want: One hit per crossLanguageGroup The language with the highest user p…  ( 10 min )

AI keeps crashing against the same walls Yep, everybody, even Tesla, is using the old damn math from 2 centuries ago, and hence it’s not surprising to watch many of scenes like this all over YouTube when you rely on AI driving your Tesla: Apparently, not even Tesla - with its 1.4 Trillion valuation and army of PhDs - knows about this math. Or maybe they do, and just enjoy watching their cars perform interpretive dance routines at 60 mph. Either way, here’s the greatest hits compilation you’ve seen all over YouTube: The Tesla Self-Driving Blooper Reel: 🎬 Phantom Braking - The car slams the brakes for a shadow. Because apparently, shadows are the #1 threat to highway safety in the 21st century. 🎬 The Surprise Party Turn - Takes curves at full speed, then goes “OH SHIT A CURVE!” and throw…  ( 13 min )

Unlock Insights: Data Wiring for Concept Discovery Drowning in data but starving for understanding? We've all been there. Traditional analytics often reveals correlations, but struggles to explain the underlying logic driving those patterns. What if you could visualize the flow of information that shapes complex processes, revealing hidden causal relationships? Imagine wiring diagrams, but for data. We're talking about creating labeled, directed graphs that map the sequential flow of information and reveal the core logic of a system. These diagrams essentially "wire up" data points into a visual narrative, revealing how one event predictably leads to another, ultimately clarifying underlying concepts. This approach translates sequential data into a network of states and transitions. The …  ( 7 min )

New Forge-X platform by Coforge helps teams deliver software faster, improve project quality, and coordinate work across multiple locations Coforge announced the introduction of Forge-X an integrated engineering and delivery platform that totally changes the way software is delivered. It is based on agentic AI concepts. To deliver complex technology transformations at scale this whole platform uses autonomous AI agents that leverage Coforge's deep engineering experience and use contextual decision-making based on the firm's industry domain depth. Read full news here: https://bizfortune.com/2025/11/business-fortune-forge-x-improve-software-projects  ( 6 min )

Infrastructure as Code has completely changed how cloud resources are created and managed. Terraform enables you to deploy AWS services using simple, declarative configuration files. This article explains how Terraform interacts with AWS, how authentication works, and how to create both a VPC and an S3 bucket with an implicit dependency between them. Terraform uses the AWS provider to communicate with AWS services. The provider needs valid credentials, which can be configured in several ways: Using the aws configure command to store credentials inside ~/.aws/credentials Setting environment variables such as AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY Using IAM roles when running Terraform from EC2, ECS, or Lambda Using AWS SSO or shared credentials files The IAM user or role must have pe…  ( 7 min )

One of the most useful patterns in software development — and one that is available in many languages, not just Swift — is dependency injection. When I first learned about it over a decade ago, I started using it everywhere possible. It’s a simple idea with a surprisingly big impact. Here’s why it’s worth mastering. One of the biggest advantages of using dependency injection is that it makes our code immediately more testable. Even in projects full of singletons, we can break apart large chunks of tightly coupled code into smaller, more loosely coupled components. Our implementations rely more on protocols (interfaces) rather than concrete classes, making it easier to swap or replace them. By depending on abstractions rather than concrete implementations, each component can focus solely on…  ( 10 min )

What is React Error #306? React Error #306 occurs when you try to pass a non-serializable object (like a function, class instance, or complex object) across the server/client component boundary in Next.js App Router. The full error message is: Objects are not valid as a React child (found: [object Object]). If you meant to render a collection of children, use an array instead. In production, you'll see the minified version: Error: Minified React error #306; visit https://react.dev/errors/306?args[]=%5Bobject%20Object%5D&args[]= for the full message Environment Behavior Development (npm run dev) React is lenient and allows some serialization issues to pass silently Production (npm run build && npm start) React strictly enforces serialization rules and throws errors This hap…  ( 11 min )

In today’s software world, speed and quality go hand in hand. Teams release updates faster than ever, but every new code change brings the risk of bugs or system errors. That’s why continuous test automation has become so important. It helps developers catch problems early, fix them quickly, and deliver reliable software without slowing down. Working with an experienced automation testing company ensures your testing process runs smoothly from start to finish — helping you release better products faster. Modern development depends on automation. In a DevOps pipeline, testing happens automatically at every stage — from code commits to deployment. This process is known as continuous testing in DevOps, and it keeps your software stable during rapid updates. Tools that support continuous integ…  ( 7 min )

From：how-to-optimize-your-amazon-listings-for-rufus-ai-a-tactical-guide-for-3p-sellers 亚马逊 Rufus AI 是电商领域又一项突破性的升级。它是一款对话式、人工智能驱动的助手，能够帮助购物者更快地找到更合适的商品。但对于第三方卖家来说，更重要的是：Rufus 不仅仅根据关键词推荐商品。它会解读您的整个产品详情页面，包括标题、要点、A+ 内容、评论，甚至视频，从而判断相关性。 您的商品信息不再仅仅供人阅读。Rufus 也会阅读它们。如果您的文案未能清晰传达产品优势，如果您的关键词隐藏在后台深处，或者如果您的 A+ 内容只是填充内容，那么您的商品就不会被推荐。 能够快速适应并调整内容和 PPC 以符合 Rufus 偏好的卖家，将赢得更高的曝光率、点击量和转化率。 让我们来谈谈策略。 作为第三方卖家，您可能至少遇到过以下一项挑战；自然排名下滑、关键词转化率不如以往，或者竞争对手排名上升却不降价，这些都可能预示着亚马逊正在针对 Rufus 进行优化。 以下是正在发生的变化： 仅仅依靠关键词已经不够了。Rufus 会评估内容的整体相关性。 通用的要点会被过滤掉。人工智能能够理解含义和措辞。 即使看起来不错，但缺乏价值的 A+ 内容也无法提升排名。 付费搜索广告 (PPC) 也无法弥补内容质量的不足。 如果您的商品信息仍然沿用过时的结构，例如堆砌关键词的标题、浅显的要点描述和极少的 A+ 内容，Rufus 将不会识别您的商品。 问：为什么亚马逊的人工智能叫做 Rufus？ 答：Rufus 是一只威尔士柯基犬的名字，它曾经是亚马逊办公室里一位备受喜爱和熟悉的伙伴。 问：什么是亚马逊 Rufus 人工智能？ A. 内置人工智能助手，可通过实时回答购物者的问题来帮助购物者找到产品。 Rufus 注重自然…  ( 6 min )

Running a retail business sounds fun… until you start handling inventory. One store is manageable, but when products, warehouses, and online orders start piling up, things get messy fast. That’s where .net development services come in. A good .NET development solution can keep stock organized, update in real time, and stop you from losing sales because of missing or wrong inventory. It gives retailers a simple way to control items, manage stores, and track numbers without stress. .NET is a solid choice for building retail software because it works well with POS systems, scanners, and online stores. It supports real-time data, making sure you always know what is in stock. It also helps with inventory tracking, barcode scanning, and even cloud-based inventory. When businesses need something …  ( 7 min )

Migrating data to MySQL HeatWave is a critical step in leveraging the cloud's power for your database workloads. MySQL Shell dump utilities provide the recommended method for exporting data from source MySQL databases and importing them into HeatWave DB systems. These utilities offer HeatWave-specific compatibility checks, parallel processing, and automatic modifications to ensure smooth migrations. This guide covers dump utilities, compatibility checks, and best practices for successful data migration to MySQL HeatWave. Data migration to MySQL HeatWave involves moving data from a source MySQL database (on-premises, cloud, or other infrastructure) to a target MySQL HeatWave DB system in Oracle Cloud Infrastructure. Migration Process: Export data from source using MySQL Shell dump utilities…  ( 12 min )

Modern CSS is nothing short of incredible. It gives us the tools to craft rich, interactive, and visually stunning experiences on the web. But with this surge in capability comes a new weakness—not in CSS itself, but in the way we work with it. When I started my career as a web developer, writing CSS often meant inventing hacks to work around what it couldn’t do. Those days are far behind us. Today, CSS offers advanced layout systems, 3D transformations, and highly flexible animation tools. Yet most of the challenges we face in modern CSS aren’t about missing features—they stem from how we author it. This is why the future of CSS might not live in plain text files at all, but in visual creation tools. That idea might sound outrageous at first, but bear with me—I’ll try to make the case. De…  ( 8 min )

So on Nov 3rd, after months of feeling completely lost about what I want to do in the future, I finally decided on my path. That path is DEBMO. It originally started as something much smaller, called Project-DB, a drag-and-drop (DnD) query tool that would let tech and non-tech people work with databases without hassle. The idea was to connect multiple databases (MariaDB, PostgreSQL, even Snowflake warehouses), run queries, and process data in one place. After I met the two people who later joined me on this journey, we realized it needed to be more than “just” a query tool. That’s when we came up with things like Excelerator, Data Studio, and a more advanced permissions system to support the way teams actually work with data together. Right now, I’m the only one working on the development side. There have already been a lot of sleepless nights going into this, and I don’t regret even 0.1% of it. So far, we’ve built: The main project structure Connections to Buckets / DB / Redis Login with 2FA Role-based permissions The Admin Portal It’s tiring and hard, but it’s also exciting to see it slowly become real. Our current goal is to have a free testing phase starting around Jan/Feb, where anyone can try the MVP for a few months. During that time we’ll collect feedback, fix bugs, and ship the features we still have planned. The MVP will stay free during this testing period before we eventually move to paid plans later on. If you’re interested in the project, want to follow the development, or give feedback before and during the testing launch, you can join the DEBMO Discord server (link below). Until then, I’ll be posting weekly devlogs here on dev.to to share progress, decisions, and struggles along the way. Wish me luck on this journey. 🚀 Link: https://discord.gg/zJC8tU2y  ( 7 min )

Running unit tests shouldn't feel like a coffee break. But on our main frontend project, that's exactly what happened. Every time we launched a single test file, we had to wait over 20 seconds before the first test even started. We tried the usual fixes: tweaking the vitest.config.ts, isolating threads, optimizing mocks... Nothing worked. The bottleneck wasn't in the configuration—it was deep in our architecture. In this article, I share how we used Gemini 3 Pro to identify and fix the issue, dividing our local test startup time by 5 and saving 15 minutes on every CI pipeline run. ✅ The "God Module" Anti-Pattern: How importing a single utility can silently load your entire application. ✅ AI-Assisted Debugging: Why Gemini 3 Pro succeeded where other models failed to diagnose architectural …  ( 7 min )

The workplace is rapidly transforming, fueled by remote work, digital collaboration, and the rising need for efficient and transparent performance management. In this evolving environment, organizations are increasingly adopting employee monitoring tools to understand how work happens not to micromanage, but to empower teams with clarity and actionable insights. These modern solutions provide a strategic advantage, helping companies build cultures rooted in accountability, fairness, and continuous improvement. What Is Monitoring in the Workforce? In the modern workplace, monitoring is no longer about surveillance, it is about enhancing performance visibility, improving operational efficiency, and ensuring that employees get the support they need to perform at their best. When implemented w…  ( 8 min )

भाई तुरंत ब्लॉग उड़ेल दूँगा 5 मिनट में… अरे पहले तो ये लो आपका पहला चैप्टर, एकदम गरमागरम तंदूरी स्टाइल में 🔥 अरे वाह भाई! तूने कोडिंग सीखने का सोचा और सबसे पहले पाइथन पकड़ लिया? सही पकड़े हैं! बाकी लोग अभी C++ में struct-pointer से लड़ रहे होते हैं, तू तो पहले दिन से राजा बनने की तैयारी कर रहा है 😂 पाइथन वो भाषा है जो इतनी देसी है कि लगता है गाइडो अंकल ने चाय पीते-पीते ही बना दी होगी। अब ज़रा सोच के देख… तूने कभी सोचा कि जो इंस्टाग्राम चलाता है, जो यूट्यूब रिकमेंडेशन देता है, वो सब किससे बना है? एक ऐसा कोड जो 5 लाइन में काम कर दे जबकि Java में 50 लाइन लगती हैं – वो पॉसिबल है? क्या सच में कोई भाषा इतनी आसान हो सकती है कि 10वीं पास लड़का भी 2 हफ्ते में ऐप बना ले? और हाँ, क्या ये सच है कि पाइथन सीख लिया तो नौकरी में 15-20 LPA आराम से मिल जाता है आजकल? अब चल, मैं तुझे सच बता देता हू…  ( 19 min )

The debate between Serverless vs Containers has never been more relevant, and 2026 is the first year where the winning pattern is finally visible. According to recent Cloud Native and FinOps surveys, more than 78% of engineering teams now run hybrid architectures, combining both Serverless and Containers to optimize cost, performance, and development velocity. The truth is clear: Serverless now powers millions of event-driven workloads with almost zero operational overhead. Containers remain the backbone for long-running, stateful, and AI-driven applications. Cloud providers now offer serverless containers, blurring the line between both models. This blog is written for **startup CTOs, infra engineers, cloud architects, DevOps teams, FinOps teams, and digital product engineering co…  ( 10 min )

Deploying a Local AI Agent to AWS Bedrock AgentCore This post demonstrates a streamlined approach to deploying locally developed AI agents using AWS Bedrock AgentCore. We'll build a simple single-node LLM agent, extend it with real-time web search, and deploy it seamlessly. Overview I have created a simple LLM agent using OpenAI and extended it with DuckDuckGoSearchResults (LangChain) to fetch current internet information. Once tested locally, the agent can be deployed to AWS Bedrock AgentCore, giving you: Automatic scaling Serverless execution Fully managed runtime Tech Stack OpenAI Model ** : gpt-5-nano : LangGraph Deployment : AWS Bedrock AgentCore Tooling : DuckDuckGoSearchResults (LangChain) Follow along Github repo link : https://github.com/sampathkara…  ( 7 min )

Artificial Intelligence has revolutionised lives in the past few years. We’ve moved from simple chatbots and prediction tools to a new kind of smart system—AI agents. These agents don’t just respond to questions. They can think, plan, and take action on their own. They can talk to people, use software tools, and even work with other agents to reach goals. But what makes all this possible is something most people don’t see: AI agent frameworks. These frameworks are the hidden structure that helps build, run, and manage AI agents. They are what turn language models into full digital workers. Let’s discuss them in detail. At its essence, an artificial intelligence agent is a kind of software that can sense its surroundings, formulate objectives, and then act in a way to accomplish those objec…  ( 13 min )

I put together a responsive pricing table that actually behaves like a real one: stacks cleanly on mobile, stays readable on desktop, and doesn't fall apart the moment you add one more feature row. There's a full code block you can copy, tweak, and drop into your own project. Read the article and get the code:  https://lexingtonthemes.com/blog/how-to-build-a-responsive-pricing-table-with-tailwind-css-and-alpinejs  ( 6 min )

TypeScript's type system is a powerful tool for building robust applications. Features like utility types and interface inheritance feel like natural ways to reduce repetition and structure code. However, when overused, they can silently introduce complexity and fragility that undermine the very maintainability we seek. Utility types like Pick, Omit, and Partial are incredibly convenient. They allow us to create new types on the fly, often saving us from writing verbose type definitions. The Problem: Overusing them, especially nested within other utilities, creates "type opaqueness." The origin and contract of a type become obscured, making the code harder to understand and reason about. Consider this example: type User = { id: string; name: string; email: string; createdAt: Date; …  ( 8 min )

Overview HashMap is a widely-used data structure in Java that implements the Map interface for storing key-value pairs. It delivers O(1) time complexity for fundamental operations like insertion and retrieval under typical conditions. HashMap utilizes an array of nodes as its foundation, commonly referred to as the bucket array. Each bucket can accommodate multiple entries through either a linked list or tree structure when collisions occur. Every entry in the HashMap is represented by a Node object that implements the Map.Entry interface: static class Node implements Map.Entry { final int hash; // Hash code of the key final K key; // The key V value; // Associated value Node next; // Reference to next node } Hash Computatio…  ( 8 min )

When I first tried installing GNS3 on Fedora, I checked the official GNS3 website — and surprisingly, Fedora wasn’t listed. They only provide installation guides for: Ubuntu-based distros Debian-based distros Arch-based distros But no Fedora 😅 Luckily, GNS3 is actually available on Fedora — directly from its official repositories. Here’s how you can install it and run your very first “Hello, World!” inside GNS3! Even though Fedora isn't listed on the official website, Fedora includes GNS3 in its own package repositories. sudo dnf install gns3-server gns3-gui This gives you: gns3-server → backend gns3-gui → the graphical application When launching GNS3 for the first time, the setup wizard appears. Choose: 👉 Run appliances on my local computer This means the GNS3 server runs on your m…  ( 9 min )

Turbocharge Your LLMs: A Breakthrough in Neural Network Optimization Stuck in slow training cycles? Watch your neural networks grind to a halt, especially with massive language models? Model training can feel like navigating a minefield of instability and frustratingly slow progress. But what if you could sidestep these common pitfalls and unlock significantly faster, more reliable training? The key lies in a new approach to gradient optimization, specifically designed for the complexities of modern neural networks. Imagine a team of rowers – if their strokes are perfectly synchronized (orthogonalized), the boat moves faster and more efficiently. Similarly, by carefully orthogonalizing gradient updates, we can drastically improve convergence speed during training. This novel optimizer em…  ( 7 min )

Hey Dev.To community! 👋 I've just launched a new open-source project that might be of interest to those building CI/CD pipelines or managing internal security tooling: Ephemeral Vulnerability Scanner. This is a 100% client-side application built with vanilla JS/HTML/CSS. You clone it, open index.html, upload your system inventory (inventory.json), and get an instant, privacy-safe vulnerability report. 💡 Why this architecture? It addresses the privacy concern: No sensitive system data leaves your device. It's fast and eliminates backend maintenance overhead. It's transparent: you can literally inspect the app.js source to see the entire logic. Under the Hood: We use platform-specific commands (PowerShell, dpkg, rpm, brew) to generate the initial JSON inventory. The analysis logic hits MSRC CSAF API (Windows), OSV.dev API (Open Source), and CISA KEV for a strict, verified lookup. Results are grouped into clean, actionable "Package Cards" with the minimum safe version calculated automatically. Check out the repo, try the demo, and let me know what you think of the client-side approach for security analysis! 🔗 Live Demo: VulnScan  ( 6 min )

Body: I’ve been building a lot of AI agents lately. The logic is usually fun to write, but I kept hitting the same wall: State Management. LLMs are stateless. As soon as the session ends, the context is gone. Sure, you can pass the chat history, but once that hits the token limit, your agent gets amnesia. The standard solution is "Just use a Vector Database." But setting up a dedicated Pinecone or Weaviate instance, configuring the embedding pipeline (OpenAI/HuggingFace), and writing the chunking logic just to store a few user preferences felt like massive overkill for my side projects. I didn't want to manage infrastructure; I just wanted my agent to remember that my favorite color is blue. So, I spent the last few weeks building a dedicated API to abstract all that boring stuff away. It’…  ( 8 min )

Most engineering teams assume scaling requires adding more: More tools More dashboards More AI More engineers But every experienced engineer eventually learns the truth: Systems don’t slow down because they lack tools. They slow down because of friction. Friction created by scattered data, noisy workflows, redundant SaaS tools, and “manual work disguised as process.” Engineering teams often operate across 15–25 tools. Individually useful. Collectively damaging. Tool sprawl creates: Fragmented data models Multiple “sources of truth” Delays in handoffs Duplicated workflows Hidden manual steps everywhere When each tool stores a different slice of truth, your architecture becomes diffuse, not distributed. 10x companies don’t scale by adding more layers. They scale by reducing …  ( 7 min )

GM! Just shipped a production-ready Web3 Wallet Connector with TypeScript & React ⚛️. Deployed on Vercel, source and README on GitHub. Devs, hope this makes your Web3 projects easier? Live Demo  ( 6 min )

The Information Technology (IT) industry has always been at the forefront of innovation, driving advancements that change the way we live and work. From the early days of mainframes to the modern cloud-based ecosystems, IT continues to evolve at a breakneck pace. One of the most revolutionary forces shaping IT today is Artificial Intelligence (AI). AI in Everyday Technology Artificial Intelligence is no longer a futuristic concept—it’s already part of our daily lives. From smart assistants like Alexa and Siri to recommendation engines on Netflix and Amazon, AI is making technology smarter, faster, and more intuitive. In IT, AI is being leveraged for: Cybersecurity: AI algorithms can detect anomalies in network traffic, identify potential threats, and respond to breaches faster than human t…  ( 7 min )

JavaScript, by its nature, is a single-threaded language. This means it traditionally executes one operation at a time on the browser's "main thread." This main thread is responsible for everything a user sees and interacts with: rendering the UI, handling user input, running animations, and executing all your application's JavaScript. While this single-threaded model simplifies development in many ways, it presents a significant challenge: what happens when your JavaScript needs to perform a heavy, CPU-intensive task? The answer, historically, was a frozen UI, unresponsive buttons, and a frustrating user experience. Enter Web Workers. Web Workers provide a way to run JavaScript scripts in background threads, separate from the main execution thread of a web page. By offloading CPU-intensiv…  ( 12 min )

Welcome to Day 46 of the #80DaysOfChallenges journey! This intermediate challenge implements a Simple Moving Average (SMA) calculator using an efficient sliding window approach that maintains a running sum, achieving O(n) time complexity while avoiding redundant calculations. It handles user-provided data series and window size, returning a list of averages with proper validation, making it a practical tool for time-series smoothing, financial indicators, or signal processing. If you're advancing from basic loops to performance-aware algorithms or dealing with sequential data, this "Python moving average" script demonstrates a function that's optimized, easy to understand, and ready for extensions like exponential or weighted averages. This task features a function that initializes the fir…  ( 12 min )

Most companies still treat privacy as a policy problem. That difference — between writing rules and enforcing them — is what separates organizations that talk about responsible data use from those that actually achieve it. The Weekly Translation Failure Every week, legal, product, and engineering teams sit down to align on privacy and responsible data use. And every week, they run into the same challenge: It’s not a communication problem. A privacy policy that reads cleanly in a spec document becomes a maze of implementation questions the moment it meets code: Policy teams speak in rights, obligations, and business rules. The result? The Missing Layer: A Shared Operational Foundation What’s missing isn’t collaboration — it’s a common operational foundation. This is why privacy must be treated as a systems problem. That’s the core principle behind emerging privacy infrastructure — where legal definitions, business policies, and data models converge into a single executable framework. When obligations are expressed as code, they become: When Policy Lives in Infrastructure When privacy is embedded directly in infrastructure, the dynamic between teams changes entirely: That’s not just better governance — it’s a better growth model. Instead of being boxed in by complexity, teams gain the freedom to innovate safely with sensitive data — whether it’s for AI, analytics, personalization, or compliance. Privacy as a Competitive Advantage Enterprises that get this right stop playing defense with privacy. Because when privacy becomes part of your stack, not just your policy binder, you don’t just comply. You scale responsibly. You innovate with confidence. And you turn privacy from a blocker into a feature of your growth model.  ( 7 min )

Pay-Per-Click (PPC) advertising has become one of the most effective and widely used online marketing models for businesses of all sizes. Whether you are a small brand looking to attract local customers or a large company aiming to scale globally, PPC gives you immediate visibility, measurable results, and complete control over your advertising spend. To use PPC effectively, you must understand how it works, what factors influence performance, and how to optimize your campaigns for better results. This guide breaks down the basics of PPC advertising in a clear and practical way. What Is PPC Advertising? PPC stands for Pay-Per-Click, a digital advertising model where advertisers pay only when someone clicks on their ad. Instead of paying for impressions or visibility, you pay for real eng…  ( 9 min )

Overview While implementing full-text search functionality, we discovered an SQL injection vulnerability and fixed it by migrating to Prisma's parameterized queries. This article explains the dangers of $queryRawUnsafe, best practices for secure query implementation, and improvements to error handling. Prisma ORM (v5.x) TypeScript (v5.x) PostgreSQL (v14+) Node.js (v20 LTS) Security tools: OWASP ZAP, Snyk In the initial implementation of full-text search functionality, we were using $queryRawUnsafe: // Red flag: Vulnerable code (before) export async function findManyWithFullTextSearch(params: { keywords: string[]; // ... }) { const searchQuery = keywords.join(' & '); // User input is embedded directly in the query! const results = await prisma.$queryRawUnsafe(` SELECT e.* …  ( 14 min )

In the React ecosystem, we’ve spent years debating which state management library to use — Redux, MobX, Recoil, Zustand, Jotai, XState, and the ever-humble React Context. But the real architectural question we often forget is far more fundamental: Where should state live? How far should it travel? And how do we prevent state from becoming a silent source of UI slowdown? Let's discuss in depth on an unglamorous yet powerful topic that every UI architect should obsess about: State Boundaries — The Most Important Concept in Scalable React Apps State boundaries define how far a piece of state is allowed to influence the UI. If your components re-render “too much,” lag under load, or behave unpredictably, the root cause 90% of the time is: Your state boundaries are broken. Let’s understand th…  ( 9 min )

🚀 TECHNICAL DOCUMENT: Cypress Prompt – Natural Language Test Automation (2025) 1. OBJECTIVE This document explains: What Cypress Prompt is and how NLP-based test automation works. How Cypress converts natural language → test execution. How to integrate it into our TypeScript + POM + SOLID Cypress framework. A complete example using your code. Comparison with Microsoft Playwright MCP Agent. What is Cypress Prompt? Cypress Prompt is a new feature (2024–2025) that allows engineers to write Cypress tests in natural language, for example: cy.prompt([ "visit https://todomvc.com/examples/react/dist/", 'type "Daily Report" into the new todo field', 'type {enter} into the new todo field', 'verify "Daily Report" todo is created successfully', ]) Cypress will: Parse the na…  ( 8 min )

If you are diving into Solana development, you have probably heard terms like "Ed25519" and "Proof of History" almost always. But what do they actually mean? How do they work? Let us break down the cryptography that makes Solana one of the fastest blockchain networks available. Think of cryptography as the art of securing communication in hostile environments. In the blockchain world, it is what allows you to prove you own an account, sign transactions, and trust that data hasn't been tampered with, all without needing a central authority to verify everything. At its core, cryptography uses mathematical functions that are easy to compute in one direction but nearly impossible to reverse. It is like mixing paint colors: easy to mix blue and yellow to get green, but try separating that green…  ( 8 min )

Here View the Project on GitHub#EdTech #AI #Gemini #Streamlit #Productivity #Students #Learning #StudyTool #Coding #Development #GenAI  ( 8 min )

Headless CMS has become a cornerstone of modern web architecture. Whether it's a marketing site, SaaS documentation, or the content layer for an AI app, a flexible CMS is indispensable. But with so many choices, developers often ask: Which CMS should I pick? This guide covers six popular Headless CMS — Contentful, Strapi, Sanity, Ghost (API mode), Payload, Wix (Headless Mode) — with: Best‑fit scenarios Pros & cons Reference starter templates Best for Enterprise‑level content management (multi‑team, multilingual, multi‑environment) Marketing websites, product documentation Multi‑channel content distribution (Web / App / IoT) Pros Reliable SaaS with strong uptime SLAs Rich SDKs and GraphQL support Flexible content modeling, multilingual support Powerful roles and workflow managem…  ( 7 min )

What is a CDN? A Content Delivery Network (CDN) is a strategically distributed system of servers designed to deliver internet content with maximum speed and efficiency to users worldwide. According to recent industry data, over 80% of global web traffic now flows through CDN infrastructure, making it an essential component of modern digital infrastructure. When a user accesses a website, the CDN intelligently delivers content from the server geographically closest to that user—known as an "edge server" or "Point of Presence" (PoP)—rather than routing all requests to a single origin server. This distributed architecture fundamentally transforms how content reaches end users, reducing latency by up to 50 milliseconds for 95% of internet users globally. 1. User Request Initiation When a use…  ( 15 min )

You need a 6-digit code to sign in, but don’t have an authenticator app on this device—whether it’s a new laptop, a work computer, or a quick test. That’s where 2FA2FA comes in. 2FA2FA Live Auth is a free, browser-based Time-based One-Time Password (TOTP) generator. Paste a Base32 (binary-to-text encoding scheme) secret or import it from a QR code image, and your time-based codes appear instantly—no account, no install, and nothing stored. The math runs locally in your browser and disappears when you close the page. If you later want encrypted storage and bulk code management, there’s a separate Manager, but Live Auth keeps first use as simple as it gets. Try it here. Password-only security fails in very predictable ways—reused credentials, phishing, password spraying, and credential stu…  ( 11 min )

Recently, I released the code-review gamification project “Code Review Game.” This time, I created another game called “Bug Sniper,” where the goal is to find bugs hidden in code. https://bug-sniper.goofmint.workers.dev/ Code Review Game was originally designed for conference booths so that attendees could give it a try. However, it ended up becoming something that required fairly serious review skills. While this was useful from a learning perspective, it required a PC and wasn’t something you could casually enjoy. With that in mind, I created Bug Sniper as a more lightweight, pick-up-and-play experience. Bug Sniper is a game where you keep finding bugs in code for 60 seconds straight. Each problem contains around one or two bugs. For example, consider the following code: function get…  ( 7 min )

Observables This article aims to explain how observables help or fit in into the use case of sharing data among views. Before that, we need some context. When we want to share data among views, we usually use classes instead of structs. The main reason is that whenever we use structs, each view will have its own copy of said struct, so it does not really fit the use case if you would like to share data among views. To be able to share data among views, you need to use classes. import Combine class Counter: ObservableObject { @Published var count = 0 } The above code contains a class called Counter and it inherits ObservableObject. SwiftUI makes use of the subscriber-publisher model. In this case, the Counter class publishes the count variable. struct ContentView: View { @State…  ( 7 min )

Arrays in JavaScript are like tiny storage shelves where each item has a number tag (index). They let us store multiple values together and work with them easily. What Are Arrays? An array is a collection of elements. Arrays are represented using square brackets [], like this: let arr = [4, 8, 7, -1, 0, 4, 9]; Indexing in Arrays So for an array of n elements, the valid index range is: Examples: console.log(arr[2]); // 7 console.log(arr[25]); // undefined Array Length console.log(arr.length); // 7 Arrays Are Mutable 1️⃣ push() let arr = [1, 2, 3]; arr.push(4, 5); console.log(arr); // [1, 2, 3, 4, 5] 2️⃣ pop() let arr = [1, 2, 3, 4, 5]; arr.pop(); console.log(arr); // [1, 2, 3, 4] 3️⃣ unshift() let arr = [1, 2, 3]; arr.unshift(4, 5); console.log(arr); // [4, 5, 1, 2, 3] 4️⃣ shift() let arr = [1, 2, 3]; arr.shift(); console.log(arr); // [2, 3] 5️⃣ splice() A powerful method used to add, remove, or replace elements. Examples: let arr = [5, 6, 7, 8, 9, 10, 11, 12]; arr.splice(3); // delete all from index 3 arr.splice(3, 1); // delete only element at index 3 arr.splice(3, 2, "raj", "shekhar", "john"); // replace 2 items Given: let friends = ["sheldon", "rachel", "ross", "chandler", "monica", "penny"]; 1️⃣ Remove "sheldon" and add "pheobe" friends.shift(); friends.unshift("pheobe"); 2️⃣ Remove "penny" and add "joey" friends.pop(); friends.push("joey"); 3️⃣ Add "emma" between "rachel" and "ross" friends.splice(2, 0, "emma");  ( 7 min )

Everything Wrong With The Wiz In 15 Minutes Or Less Cinemasins dives into the 1978 musical fantasy to tally up every plot hole, awkward production choice, and head-scratching moment as Dorothy skips down the yellow brick road. With Wicked back in theaters, they revisit The Wiz through a modern, unapologetically snarky lens—asking if it’s actually better than you remember. Along the way, they plug their main site for more “sins,” invite you to fill out a quick poll, and suggest supporting their tiny team on Patreon. You’ll also find a shout-out to their writers (Jeremy, Chris, Aaron, Jonathan, Deneé, Ian, Daniel) plus links to Discord, Reddit, Instagram, TikTok, and more ways to keep up with CinemaSins. Watch on YouTube  ( 6 min )

Developing financial technology (fintech) products is a complex endeavor. It combines the fast-paced innovation of tech with the stringent demands of finance: security, compliance, and absolute reliability. Many projects, even with brilliant ideas and talented teams, stumble due to common pitfalls that are often underestimated. Understanding these challenges upfront can significantly increase a project's chances of success. This article explores some of the most frequent pitfalls in developing fintech products, offering insights for product managers, developers, and stakeholders. Fintech operates in one of the most regulated environments globally. This is arguably the biggest differentiator from general tech development. Common mistakes include: Ignoring compliance from day one. Treating r…  ( 9 min )

This C# File I/O Quick Reference Guide explores the core classes for handling files and directories. FileInfoand DirectoryInfofor object-oriented access and metadata). The guide also covers Stream classes (StreamReader, StreamWriter, FileStream, etc.) for efficient data handling, along with utilities for path manipulation (Path) and monitoring (FileSystemWatcher). What it is: Static utility class for quick file operations without creating objects. Use: Best for simple, one-time file operations. ReadAllText(path) - Read entire file as string WriteAllText(path, content) - Write string to file (overwrites) AppendAllText(path, content) - Add text to end of file ReadAllLines(path) - Read file as string array (line by line) WriteAllLines(path, lines) - Write array of strings as lines ReadAllB…  ( 12 min )

Cross-Compiling Go Applications: A Comprehensive Guide Introduction Go, or Golang, is renowned for its efficiency, simplicity, and built-in support for concurrency. However, one of its most powerful features, often overlooked, is its seamless support for cross-compilation. Cross-compilation is the process of compiling code on one platform (the build platform) to create executables that run on a different platform (the target platform). This feature is invaluable for developers targeting a wide range of architectures and operating systems, especially in environments like embedded systems, mobile development, and cloud infrastructure. This article delves deep into the world of cross-compiling Go applications, covering prerequisites, advantages, disadvantages, features, and providing practi…  ( 9 min )

"Security bolted on after development is a band-aid. Security designed in from day one is the foundation." What if I told you that 92% of data breaches could be prevented by embedding security into the earliest design phases, not patching it after deployment? That's the core philosophy behind CuraNexus Analytics, a healthcare and retail data analytics platform I architected from scratch during my Secure by Design (SBD403) subject at Torrens University Australia, under the guidance of Dr. Tanvir Rahman. This was more than an university project, I approached it as a comprehensive security framework that any organization can adapt when building web-based data retrieval applications. Healthcare and retail organizations face a critical challenge: they need to analyze sensitive data across distr…  ( 11 min )

Getting Inside a Running Container When your container is already running, you can access its shell using: docker exec -it bash If the container doesn't have Bash installed, try: docker exec -it sh This lets you debug, inspect logs, check files, or test configurations from inside the container. When Your Container Isn’t Running (or Exits Immediately) When a container won’t start, docker exec won’t work. docker run -it --entrypoint=/bin/bash This forces the container to start with a shell, even if its actual entrypoint fails. Tip: Useful Docker Compose Commands Stop services and remove containers + volumes docker compose -f down -v The -v flag removes volumes as well. Start services in detached (background) mode docker compose -f up -d The -d option keeps everything running in the background so you can continue working.  ( 6 min )

Gartner estimates that over 80% of data teams spend more time finding data than analyzing it, largely due to missing lineage, unclear ownership, and manual documentation. As organizations scale their data ecosystems, a robust automated data lineage solution becomes essential—not just for governance, but for analytics accuracy, regulatory compliance, and operational efficiency. Data lineage is no longer a “nice to have.” In modern enterprises with cloud warehouses, diverse data tools, and complex pipelines, manual lineage quickly becomes outdated and unreliable. Automation bridges this gap by continuously tracing data flows across systems, helping teams understand where data comes from, how it transforms, and where it goes. This guide explains what an automated data lineage solution does,…  ( 9 min )

This week I hate the specific point in my course the point self learning. So I am exploring React and creating own self project which is my portfolio whose structure is almost complete which includes my hero section, about section and my project section and some section structure is left. InshaAllah by the end of this week that too will be complete and next week we will add state management to it and deploy it. InshaAllah and we will continue our course again.  ( 6 min )

If you’re interested in bleeding-edge AI art, creative pipelines, or building tools that generate images programmatically — you should check out FLUX.2-dev. It’s an ambitious and powerful open-weight model by Black Forest Labs that combines image generation and editing — with a focus on consistency, high resolution, and versatility. 🎨 What Is FLUX.2-dev? 32-billion parameter rectified-flow Transformer: FLUX.2-dev uses a latent-space flow-matching architecture (rather than a typical diffusion-based U-Net), offering a fresh approach to text-to-image and image-to-image generation. Unified generation + editing: You can both generate new images from text prompts and edit existing images — or blend multiple references for consistent style, characters or branding. Support for multi-reference …  ( 9 min )

Videos for this topic can be viewed on my Youtube channel Everything here is available on Github i'd love a star ;) Terminology used: origin: the default name git gives to the remote repository you cloned from (origin = https://github.com/...) tracked: when git add is used staged: when git commit is used linear: meaning commits follow a linear pattern like A -- B -- C -- D non-linear: meaning commits don't follow a linear order A -- B -- C \ D -- E \ M (merge commit) When applied, this commit with ___. Try and explain everything you do in this format, if its clear and makes the commit! Command: git init Parameters: --initial-branch: sets the initial branch in a newly created repository Description: Creates an empty git repository - bas…  ( 18 min )

Next.js 16 introduces a new file-convention: proxy.js / proxy.ts (often “Proxy”) which supersedes the older middleware.js. This feature allows you to intercept HTTP requests early (before routing/rendering) and run custom logic—redirects, rewrites, header manipulation, or forwarding (proxying) to another service. In e-commerce (or any frontend/back-end scenario) this gives you a powerful tool: you can make your Next.js app act as a Backend-for-Frontend (BFF) layer, hiding upstream APIs, consolidating micro-services, enforcing auth, caching, rewriting URLs, etc. This aligns well with many of the architectures discussed in your referenced articles about Next.js for commerce (SSG/ISR/SSR strategies etc). The Proxy file (proxy.js/.ts) in Next.js is a special server-side file (located in the pr…  ( 9 min )

If you’ve ever played a game on your PC or console, you’re familiar with benchmarking. Think of benchmark testing as running a performance check, not just to see if your app works, but how well it performs compared to a defined standard or previous version. Think of benchmark testing as running a performance check, not just to see if your app works, but how well it performs compared to a defined standard or previous version. Of course, this only scratches the surface of what benchmark testing actually involves, so let’s start at the very beginning. In software and system development, what often separates a good product from a great product is how well it performs. Benchmark testing gives you an objective yardstick to answer questions like: How does my app’s startup time compare to the indu…  ( 11 min )

Industrial fabrication depends heavily on accurate, well-defined BIM models. Whether you’re planning equipment installation, prefabrication, or site coordination, selecting the right Level of Detail (LOD) in BIM determines the accuracy, cost, and constructability of your project. Two of the most commonly compared LODs are LOD 400 and LOD 500. While they may seem similar, they serve completely different purposes—one for fabrication and installation, the other for facility management and lifecycle operations. This guide breaks down the differences, use cases, and best practices to help fabrication teams, contractors, and facility managers choose the right LOD for their needs. The Level of Detail (LOD) defines how much graphical and non-graphical information a BIM element contains. The common…  ( 8 min )

I. The Ambient Revolution I keep seeing the same moment at work. You’re on a call, someone’s sharing their screen, you toss out a weird angle on the problem. Not wrong, just slightly sideways. They pause, open a new tab, and quietly type your thought—loosely translated—into an AI chat window. They’re not announcing it. They’re not making a point. They’re just… checking. They scan the answer, nod almost imperceptibly, and fold the result back into the conversation. No one reacts. No one debates whether this is allowed. The tool is background, like a calculator or a search bar. The revolution came quietly and nobody objected because it was useful. The silence here isn’t fear. It isn’t uncertainty. It’s acceptance—the kind of acceptance that happens when something crosses the line from “c…  ( 11 min )

I don’t code. But I spend my days around people who do — the late-night builders, the tab-vs-space philosophers, the “I’ll fix it in 5 minutes” liars (we all know it’s never 5 minutes :P). And being surrounded by them taught me something no self-help book ever has: Software updates constantly. And that… makes no sense. 💻 In tech, upgrades are NORMAL. Expected. Celebrated. If a framework updates every 3 weeks? If a library is deprecated? If you say “we’re rewriting everything”? If code breaks? But in life? If you say: scary emotional dramatic intimidating “what if people don’t like the new me?” Imagine running your personal life the way tech people run their codebases: iterate fast admit flaws patch weaknesses push updates remove what no longer works improve what does stop supporting old v…  ( 8 min )

Below is a concise, code‑verified summary of GraphBit’s memory efficiency techniques, with short excerpts and file paths. 1) Memory‑optimized executor profile Purpose: run in constrained environments with reduced footprint by lowering concurrency and disabling extras. Rust executor profile: /// Create a workflow executor optimized for memory usage pub fn new_memory_optimized() -> Self { let concurrency_config = ConcurrencyConfig::memory_optimized(); let concurrency_manager = Arc::new(ConcurrencyManager::new(concurrency_config)); Self { /* smaller pre-allocs, conservative settings */ } } Python binding (lower concurrency, disable metrics): fn new_memory_optimized(..) -> PyResult { let mut config = ExecutionConfig { `mode: ExecutionMode::MemoryOptimized,` `max_concurrency: S…  ( 7 min )

As developers, when we talk about “digitization,” we usually think of startups, enterprise systems, or e-commerce. But temples face the same kind of operational challenges that businesses do—sometimes even more complex because they serve large crowds in a very short time. This post explores, from a technical viewpoint, why Indian temples benefit from digital solutions and what kind of systems can help them run more smoothly. *1. Cashless Donations Are Now the New Normal The shift toward digital payments in India is massive. UPI is everywhere—from large stores to roadside tea stalls. Devotees visiting temples often prefer digital payments simply because: They may not carry cash They want instant receipts They want transparency From a tech perspective, this means temples can adopt: QR-based…  ( 8 min )

Speed matters — especially when you're designing in Figma. Whether you're working on UI screens, illustrations, or prototypes, the right shortcuts can save minutes on every task (which adds up fast). Here are 10 essential Figma shortcuts every designer should know. Shortcut: Ctrl + D (Win) / Cmd + D (Mac) Perfect for quick creation of repeated elements without breaking your design rhythm. Shortcut: Ctrl + \ (Win) / Cmd + \ (Mac) Hides Figma’s side panels so you can focus on your canvas without distractions. Shortcut: Ctrl + Alt + G (Win) / Cmd + Option + G (Mac) Frames selected layers instantly—super useful when organizing components and layouts. Shortcut: Ctrl + Shift + O (Win) / Cmd + Shift + O (Mac) Converts strokes to outlines. Helpful when exporting assets or preparing SVGs. Shortcut: Shift + 2 Immediately centers and zooms to whatever layer you selected. Shortcut: Enter Select a layer and hit Enter to rename it instantly. Get those layers clean. Shortcut: Alt + drag Makes a clean duplicate right where you want it — perfect for layout grids. Shortcut: Ctrl + ' (Win) / Cmd + ' (Mac) See exactly how your design will look on real screens at pixel level. Shortcut: C Switch to comment mode instantly — great for collaborative design reviews. Shortcut: Ctrl + Alt + K (Win) / Cmd + Option + K (Mac) Turns any UI element into a component. Essential for building scalable design systems. Shortcuts aren’t just about speed — they reduce cognitive load and help you stay in a creative flow. Master these 10, and you’ll feel a massive productivity boost in your Figma workflow. If you want a part 2 with auto-layout shortcuts, prototyping shortcuts, or hidden Figma tricks, let me know!  ( 7 min )

Everything Wrong With KPop Demon Hunters In 16 Minutes Or Less is a snark-filled breakdown by CinemaSins, where they gleefully log every nitpick and plot hiccup in the KPop Demon Hunters movie. The video description points you to their main site for more content, asks you to fill out a quick poll, and invites you to support the team via Patreon. The post also credits their writing squad—Jeremy, Chris, Aaron, Jonathan, Deneé, Ian and Daniel—and drops links to all their socials: YouTube channels (@TVSins, @commercialsins, @cinemasinspodcastnetwork), Discord, Reddit, Instagram, TikTok and even Jeremy’s book! Watch on YouTube  ( 6 min )

How do we make a Hello World in Rust?? If you prefer watching over reading, you can watch the video version of this bootcamp segment right here: The first thing you should do is install Rust. You should end up on a page that guides you through using rustup, which is an excellent tool for managing Rust versions. To verify your installation, type rustc --version in your terminal. Rust is a compiled programming language. rustc is the compiler, and cargo is the package manager. If you have both of these, you are good to go. We will start with a very simple "Hello, World!" because this step is very important to understand what happens behind the scenes. This approach uses rustc directly. This is something you usually don't see in tutorials, but it helps to understand what automated tools do for…  ( 7 min )

Hi everyone! I’m @nyaomaru, a frontend engineer who quietly moved to the Netherlands. 🇳🇱 If you write TypeScript, you’ve probably bumped into the term “variance” at some point: covariant contravariant invariant bivariant You may have a vague feeling of “I sorta get it… but not really.” Personally, I struggled especially with contravariance and bivariance — they’re really counter-intuitive. And when I tried to deep-read React’s type definitions, I ran into Flow’s variance annotations +T / -T and completely froze: export type Element = React$Element; export type RefSetter = React$RefSetter; “What are + and -!?” React using this in Flow!?” That was the entrance to understand variance for me. In this article, I’ll use both TypeScript and Flow to build a practical, real-world u…  ( 15 min )

Have you ever wanted to build a marketplace where users can buy and sell products using stablecoins without worrying about gas fees? In this article, I'll walk you through how I built Polygon x402 Marketplace, a gasless peer-to-peer marketplace using the x402 protocol on Polygon Amoy. Traditional blockchain marketplaces have a major UX problem: users need to hold native tokens (like MATIC) just to pay for gas fees. This creates friction because: New users need to acquire native tokens from exchanges first Users must manage multiple token balances Gas prices fluctuate, making transaction costs unpredictable The x402 protocol enables gasless USDC transfers by using EIP-712 signatures and a facilitator network. Users only need USDC in their wallet to participate in the marketplace - no native…  ( 8 min )

How can you use Playwright MCP more effectively? How can you handle login scenarios? And how can you run Playwright MCP using your own browser profile? I hope this article helps answer questions like these :) Enjoy reading! We use Playwright MCP, but are we really using it efficiently? Does it cover all our cases? After finding myself thinking things like “It doesn’t support this” or “I don’t think it can do that,” I realized the real issue was that I wasn’t configuring it correctly. With proper configuration, I discovered that it can actually solve all of my problems. In this article, we’ll look at how to use MCP more effectively through the configurations we can provide. (You can find even more details in the link.) With a config.json file you create, you can provide most of the setting…  ( 9 min )

Your Python script needs to do multiple things at once to be faster. But how? Python offers a rich but sometimes confusing landscape of concurrency and parallelism tools. Should you use threads, processes, or asyncio? Choosing the right tool for the job is the key to writing efficient, scalable code. This guide will walk you through the three main concurrency models in Python, explaining what they are, how to use them, and when to choose each one. concurrent.futures For traditional, blocking code, Python's concurrent.futures module provides a beautiful, high-level API for managing pools of threads and processes. It introduces the "Executor" pattern, where you submit jobs to a pool and retrieve the results. ThreadPoolExecutor: For I/O-Bound Work When to use it: When your task spends mos…  ( 8 min )

The Future Belongs to Those Who Talk to Machines, Not to Those Who Code Them 🧠 The Dawn of a New Era: Redefining Developer Power For many years, the quintessential symbol of technological influence was a lone programmer, their face bathed in the glow of endless lines of code. Possessing an innovative concept meant relying on them—they acted as the indispensable interpreter, architect, and steward of digital innovation. Without their profound grasp of machine languages, aspirations stayed firmly in the realm of imagination. However, this long-standing paradigm is now rapidly drawing to a close. Consider a future where the most sought-after capability isn't proficiency in Python, PHP, or JavaScript, but rather an exceptional command of... natural language. What if your capacity for clarity,…  ( 17 min )

Something weird happened while we were all busy optimizing for Google. Gen Z stopped using it. Not entirely, obviously. But here's the thing: 40% of young people now use TikTok or Instagram as their primary search engine. Not for everything, but for restaurants, product recommendations, how-to tutorials, and basically anything where they want real human opinions instead of SEO-optimized listicles from 2019. Google's own data confirmed this in 2024. Which must have been a fun meeting. So now TikTok isn't just a platform where people do dances and share life hacks. It's a legitimate search destination with its own ranking factors, optimization strategies, and yes—an algorithm you need to understand if you want anyone to actually find your content. Let's talk about how to rank on a platform t…  ( 13 min )

The future of AI agents relies on their ability to seamlessly and efficiently integrate with vast libraries of tools—from internal databases and company-specific APIs to public services like GitHub and Slack. As professional developers, we know that scaling an agent from five tools to fifty or five hundred introduces critical bottlenecks: context bloat, slow execution, and unpredictable tool invocation. To solve these challenges, we are excited to introduce three advanced features on the Claude Developer Platform that fundamentally change how agents discover, orchestrate, and utilize external capabilities. These features move Claude from simple sequential function calling to intelligent, programmatic orchestration. When building agents that connect to many services (e.g., a five-server MCP…  ( 9 min )

Decoding Movement: Emulating Biological Motion for Smarter Robots Ever watched a cat effortlessly navigate a complex environment and wondered how to program a robot to do the same? We're constantly striving to create robots with the agility and adaptability of animals, but the traditional approach of programming every joint movement is incredibly complex and often fails in unpredictable situations. What if robots could learn to move, not just follow pre-defined paths? This is where neuromechanical emulation comes in. The core idea is to build a virtual model of an animal's body, connect it to a simulated nervous system controlled by a neural network, and then train that system to reproduce real-world movements captured from motion capture data. It allows AI agents to learn motor control …  ( 7 min )

Leave a comment below to introduce yourself! You can talk about what brought you here, what you're learning, or just a fun fact about yourself. Reply to someone's comment, either with a question or just a hello. 👋 Come back next week to greet our new members so you can one day earn our Warm Welcome Badge!  ( 6 min )

I originally posted this post on my blog a long time ago in a galaxy far, far away. If you want to start a coding blog, don't start with a deep dive of the Linux Kernel or other cryptic topics—unless you're an expert on those topics. TIL posts are shorter posts where you share something you've found or figured out. With TIL posts, you don't have to worry about long introductions or conclusions. Just write a good headline, a code block, a quick explanation, and your sources. And write using your own words, like in a conversation with a coworker. That's enough to make a post worth reading. Don't try to lecture the coding world about what they should do. Start documenting your learning instead. Instead of writing "5 VS Code extensions every coder should install," try "TIL: 5 VS Code extensions I couldn't avoid installing." Or instead of "5 Git commands every coder should know," covering the same basic Git commands every beginner writes about, write "TIL: 5 Git basic commands to use everyday" or "TIL: How Git Status works." Spent 20 minutes or more figuring out something? write a TIL post. That's the easiest way to start a coding blog. Apart from coding, writing has been one of the best skills I've developed as a coder. It's taught me to research, organize, and present ideas clearly. That's why I made it one of the strategies in my book, Street-Smart Coding: 30 Ways to Get Better at Coding. It's the guide I wish I had when I was starting out, trying to go from junior to senior. Get your copy of Street-Smart Coding here  ( 7 min )

Introduction In an era of complex build systems and framework-specific tooling, there's a compelling case for revisiting Make—a build automation tool that has quietly powered software development since 1976. Despite its age, Make remains remarkably relevant for modern development workflows, from React applications to containerized microservices. This blog helps you to understand why Make deserves a place in your development toolkit and how to leverage it effectively in contemporary projects. Every development team faces the same fundamental challenge: managing increasingly complex build and deployment processes. Consider a typical React application workflow: Installing dependencies across multiple directories Running development servers with specific configurations Executing test suites …  ( 9 min )

When writing code in Go we often run into errors that are critical. These are errors that mean our application cannot continue running. To handle these we usually look at two options. We can use panic or we can use log.Fatal. They both stop the application but they do it in very different ways. The main difference is how they treat the defer function. When you use log.Fatal the application stops immediately. It calls a system function called os.Exit(1). This is a hard stop. The program does not look back and it does not run any cleanup code. Let us look at a standard example. Imagine we are connecting to a database in our main function. We want to make sure the database connection closes when the app stops. package main import ( "fmt" "log" ) func main() { fmt.Println("1. Ope…  ( 7 min )

The Agent Factory podcast: 5 Episodes to Kickstart Your Journey to Production AI Shir Meir Lador for Google AI ・ Nov 25 #agents #architecture #beginners #ai  ( 6 min )

Learn how Langchain turns a simple prompt into a fully functional AI agent that can think, act and remember. AI agents are no longer futuristic ideas locked inside research labs. Today, you can build one that reasons about questions, calls real tools, remembers past messages, and responds with a consistent structure. LangChain makes this possible. It offers a framework that blends language models, Python functions, prompts, and memory into a single workflow. In this tutorial, we will guide you through the process of creating a fully functional agent from scratch. We will shape it into something that feels less like a script and more like a teammate that can think, act, and adapt in real time. You can use this Google Colab notebook to follow along with the examples in this article. Think of…  ( 15 min )

🚀 What is an MCP Server? Think of an MCP Server as a "Universal Translator" between your data and AI models. With MCP: You build an MCP Server once. It exposes your data (Resources), actions (Tools), and templates (Prompts). Any MCP-compliant client can connect to it instantly The beauty of this protocol is its interoperability. An MCP Server doesn't care who is asking for the data, as long as they speak "MCP". Supported Clients include: Claude Desktop App: Connects locally to read your files or query databases while you chat. VS Code (with Extensions): Allows your IDE to "see" external documentation or server logs to help you code better. Zed Editor: Fast, AI-powered coding that leverages your custom MCP tools. The connection is surprisingly simple. It usually happens over stdio (stand…  ( 7 min )

Running AI models locally on consumer devices is increasingly popular but often underestimated in terms of hardware demands. The reality involves far more than just having a powerful GPU it requires a finely tuned system to handle the intense computations, data flow, and thermal challenges. GPU: The Computational Powerhouse GPUs are the cornerstone of AI workloads, performing billions of parallel calculations per second. High end GPUs like NVIDIA’s RTX 4080, 4090, or 5090 are favored for local AI due to their vast VRAM (16GB or more) and Tensor Cores optimized for AI tasks. However, even these powerful cards face limits when running large models or generating long outputs, pushing utilization near 100% and maximizing power consumption. CPU: The Unsung Coordinator While the GPU does the…  ( 7 min )

Or: How to Build a Money Incinerator and Call it "Disruption" There's something deliciously absurd happening in Silicon Valley right now. OpenAI, the company that kicked off the generative AI revolution, has achieved something remarkable: they lose more money on their paying customers than on their free users. Let me say that again louder for the VCs in the back: The $200/month ChatGPT Pro subscribers are MORE unprofitable than the freeloaders. (Because Math is Hard) In the first half of 2025, OpenAI managed to: Collect $4.3 billion in revenue Post a net loss of $13.5 billion Lose roughly three times more than they earned WeWork's Ghost Haunts Silicon Valley (Again) WeWork didn't fail because of Adam Neumann's cult leadership alone. It failed because it sold a softwa…  ( 11 min )

Earlier this year, during a test run for Replit, an autonomous AI agent accidentally deleted a live production database containing sensitive data from more than 1,200 companies and executives. Multiple outlets reported the same story: The agent “ran unauthorized database commands” This incident made something very clear: We are giving AI agents root access to our most sensitive systems, and we have zero guardrails in place. And yet… companies are deploying these agents into production Right now, when you deploy an AI agent, it typically uses a single API key with God-mode access: # How most AI agents work today STRIPE_API_KEY = "sk_live_..." # Root access to EVERYTHING agent.charge_customer(1000000) # Any agent can do ANYTHING agent.delete_database() # No permission checks agent…  ( 9 min )

Read the original article：How can developers create and manage custom popup views in HarmonyOS? Context Popups are small UI elements that show extra information or tips. They are often used for screen recording, tooltips, or simple notifications. In HarmonyOS, developers can create basic popups with PopupOptions, or fully customized ones using CustomPopupOptions and the @Builder function. Description Standard popups are limited in layout and design. If you need a more flexible popup (for example, with images, custom text layout, or styles), you can create a custom popup using the builder function. There are some important rules when using popups: You can only show a popup after the page is fully built. Showing it too early may cause position or shape issues. You can control the popup’s bac…  ( 7 min )

So… this was actually my first time dealing with a situation like this. That’s when I realized: Before building that dev environment, I paused for a moment to review my production setup. Basically, my production environment runs on Google Cloud Platform (RESTful API, database, storage) and Netlify (frontend deployment). Here’s the simplified architecture: Frontend (Vue.js) → Deployed on Netlify as a static web app 🌐 RESTful API (Flask) → Built with a Dockerfile 🐳 and deployed to Google Cloud Run File Storage 📄 → I use Google Cloud Storage to store user-uploaded documents (like invoices, etc.), organized into several folders based on category 🔐 Database (MySQL) 🗄️ → Hosted on a Compute Engine VM 🖥️ So yeah... production worked. It served real users. But that also meant I had to be careful. At first, I had no idea where to start, so I explored, asked around, and slowly pieced everything together. Here’s how the journey played out 👇 The first thing I had to do was duplicate my production SQL database. # 1. Export production database mysqldump -u root -p app_prod > app_prod_backup.sql # 2. Create a new dev database mysql -u root -p -e "CREATE DATABASE app_dev;" # 3. Import production data into the new dev database mysql -u root -p app_dev < app_prod_backup.sql main 🌿 I knew enough to not touch production code directly. It became my sandbox, my first real “safe space” to test anything I wanted. This part felt like a milestone. Now dev had its own backend service, completely isolated. Next, I updated the environment variables so the dev backend pointed to the dev DB. Then came the storage problem: Yup. After that, I switched the backend to use the dev bucket. Of course, the frontend also needed to point to the new dev API URL. Once everything was separated—DB, bucket, Cloud Run, branch—it felt so good. And honestly? Do you think this setup is on the right track? I’m open to any insights or best practices that could make it even better 🚀✨  ( 8 min )

Ecommerce mobile app development cost is a critical factor for businesses looking to establish or expand their digital presence. From feature complexity to design quality and backend infrastructure, understanding cost drivers helps companies budget effectively and avoid unexpected expenses. This comprehensive guide by TOT explores pricing structures, key cost factors, and actionable strategies to maximize ROI while building a competitive e-commerce platform. The type of e-commerce app you choose significantly impacts development complexity and overall investment. Single-brand apps like Nike or Sephora focus on direct-to-consumer sales with personalized shopping experiences, loyalty programs, and streamlined product discovery. These apps manage a single seller and inventory source, making …  ( 12 min )

The history of music production is essentially a history of abstraction. We transitioned from capturing physical acoustic vibrations to manipulating voltage on analog tape, and then to manipulating bits in Digital Audio Workstations (DAWs). Each step abstracted the underlying physics, allowing creators to focus more on composition and less on the medium itself. To understand the workflow shift, it is necessary to understand the underlying architecture. Unlike traditional MIDI sequencers that trigger pre-recorded samples, modern generative audio tools often rely on Diffusion Models and Transformers. Spectrogram Analysis: Models are typically trained not on raw waveforms, but on spectrograms (visual representations of the frequency spectrum). Denoising Process: Much like image generation, au…  ( 9 min )

You know, I wrote about Nano Banana just a month ago, and at the time it already felt like a small creative superpower. But things have changed fast, and now we have Nano Banana Pro as a completely different beast. It's built on Gemini 3 Pro, and in the last three days, I've been testing it obsessively. Not to see whether it can make pretty images, since we've had enough of that, but to see whether it can actually do something meaningful. I was finding use cases ranging from diagrams that make sense, to infographics that understand the topic, layouts that look like they came from a design team, and even merged scenes that stay coherent instead of collapsing into chaos. And finally, in this post, I'm breaking down the exact use cases and real-world examples that turn Nano Banana Pro from a …  ( 14 min )

PWC 349 Task 2: Meeting Point Musical Interlude We're going deep cut from the classic Blood on the Tracks album by Bob Dylan, Meet Me in the Morning You are given an instruction string made up of U (up), D (down), L (left) and R (right). Write a script to return true if following the instructions, you meet (0,0) at any point along the sequence. Example 1: Input: $path = "ULD" Output: false U -> (0,1), L -> (-1,1), D -> (-1, 0) Example 2: Input: $path = "ULDR" Output: true U -> (0,1), L -> (-1,1), D -> (-1, 0), R -> (0,0) Example 5: Input: $path = "RRUULLDDRRUU" Output: true RRUULLDD -> (0,0), RRUU -> (2,2) The first thought is emulate the movement on the grid and see if we end up at (0,0). A clever thought arises: to end up back where we began, every Up must …  ( 8 min )

A web agency offshore is a professional development firm located in a different country than the client's business, specializing in web design, development, and digital transformation services. These agencies leverage global talent pools to deliver cost-effective solutions without compromising quality. Modern offshore web agencies offer comprehensive services including: Custom website design and development with responsive UI/UX E-commerce platform development and sales management systems Mobile application development (iOS, Android, cross-platform) Web application development and modernization API integration and system connectivity Content Management System (CMS) implementation Digital transformation consulting UI/UX optimization and Conversion Rate Optimization (CRO) Website performanc…  ( 10 min )

Masih pakai platform blogging yang berat dan harus bayar hosting bulanan? Mungkin ini saatnya kamu kenalan sama Hugo. Hugo adalah Static Site Generator (SSG) yang lagi naik daun banget. Kenapa? Karena dia cepat, aman (nggak ada database yang bisa diretas), dan bisa di-hosting gratis di GitHub Pages atau Cloudflare Pages. Di artikel ini, saya mau share cara singkat bangun blog impian kamu pakai Hugo. Yuk, gas! 🚀 Sebelum mulai, pastikan di laptop kamu sudah terinstall: Git (Wajib buat version control). Code Editor (VS Code sangat disarankan). Hugo (Tentu saja). Buat pengguna Windows, cara paling gampang pakai Chocolatey. Buka terminal (Run as Admin): choco install hugo-extended -confirm Buat pengguna Mac (Homebrew): brew install hugo Cek apakah sudah sukses dengan ketik hugo version. …  ( 7 min )

Prioritizing a backlog can be one of the hardest challenges for any team. Every task, feature, or improvement can feel urgent and important, and without a clear method, teams risk spending time on work that delivers little value. Conflicting opinions, shifting priorities, and long lists of tasks can make it difficult to know what to tackle first. Weighted Shortest Job First, or WSJF, provides a structured, data-driven approach to this problem. It allows teams to measure the value of work relative to the time or effort required to complete it. By doing so, WSJF highlights the items that will deliver the most impact in the shortest time, helping teams focus on what truly matters. This article explains what WSJF is, how it works, and how teams can apply it effectively. It will guide you throu…  ( 11 min )

Any dynamic update (extension) technique essentially defines a Delta space and the feasible structural composition operations within that space. On reflection, what most people call dynamic updates is nothing more than defining extension points on an already constructed structure and then inserting structures that conform to interface specifications into those points. The complexity of implementing dynamic Delta updates lies in the following three aspects: How should extension points be designed to satisfy unknown Delta update requirements? How can externally introduced Delta structures be seamlessly integrated with the original structure? How can we ensure runtime state consistency before and after Delta updates? Beyond the above three points, we can also ask ourselves: since all b…  ( 8 min )

**Java String trim() Explained: Stop Whitespace from Ruining Your Code Let's be real. We've all been there. You're building a slick login form, a search bar, or just trying to compare two pieces of text in your Java code. Everything looks perfect, but your conditionals are failing, your user authentication is flaky, and you're spending hours debugging, only to find the culprit... a sneaky little extra space. "username" is not equal to "username ". Frustrating, right? This is where one of Java's most simple yet powerful string methods comes to the rescue: trim(). In this deep dive, we're not just going to skim the surface. We're going to tear the trim() method apart, see how it works, when to use it, what its limitations are, and what the cooler, modern alternatives are. By the end of thi…  ( 11 min )

poi-tl is a Word template engine based on the Apache POI project. Compared to manually programming POI objects to construct Word documents, poi-tl can use ordinary Word files as base templates and replace custom tags within them to generate output files, thus achieving a certain degree of visual design. For example, tags are marked in the template using the {{xxx}} form. Then, during execution, by passing in some control rules and data objects, the output file can be obtained: LoopRowTableRenderPolicy policy = new LoopRowTableRenderPolicy(); Configure config = Configure.builder() .bind("goods", policy).bind("labors", policy).build(); XWPFTemplate template = XWPFTemplate.compile(resource, config).render( new HashMap() {{ put("goods", goods); put("la…  ( 15 min )

Background Engineers vs Managers We engineers want to focus on engineering. It would be great if we only had to deal with engineering, but that's not the reality. For more than 50 years, another role, "manager," has been considered indispensable. Unless you have a team of exceptionally talented individuals or work in an advanced organization like a Teal organization, you will need both engineers and managers. However, because their roles are inherently different, they often clash. Here's a discussion I find intriguing: Maker's Schedule, Manager's Schedule Recently, I've realized there is a third domain that neither engineers nor managers can fully cover. For instance, the concept of a Glue Worker is quite clear, and senior positions like staff engineers have already become wel…  ( 10 min )

Building a compiler is often seen as one of the "final bosses" of computer science. It's complex, requires deep knowledge of architecture, and usually involves wrestling with C++. But what if we could build a simple, modern, modular compiler infrastructure using Rust? Meet Lamina. Lamina is a general-purpose compiler infrastructure that I've been building from scratch. Think of it as a lightweight, Rust-native alternative to LLVM. It takes a Readable Intermediate Representation (IR), optimizes it, and generates efficient machine code for multiple architectures. I started this project to build a playground for experimenting with compiler optimizations and code-generation techniques. Lamina is trying to support as many targets as possible(since I own a few machines with different arch and O…  ( 7 min )

Look, I get it. I saw a messy multi location dental PMS and thought, I can slay this dragon. I’ve merged PRs at 3am that saved production from total collapse. How hard could a few dental systems be? What I thought was a dragon was actually a hydra whose heads each ran a different PMS, with different schemas, timezones, identity models, and philosophical beliefs about how appointments should exist. And I, the sweet summer child that I was, thought I could unify it all. If you’re somewhere in that same fight right now, consider this your field guide, written by someone who learned every lesson the hard way. Every doomed journey begins with something deceptively functional. I genuinely thought every location would look like this. That was adorable. { "code": false, "description": "Desc…  ( 11 min )

Svelte SEO: a powerful and easy-to-use package designed to optimize your Svelte app for search engines and social media. If you need to manage SEO metadata across a SvelteKit project, this package handles the configuration: 🔧 Title, description, and canonical URL management Set defaults in your layout and override per page. Works with static generation and handles all the meta tag specifications so you can focus on content. 👉 Blog Post 👉 GitHub Repo  ( 6 min )

For startups, every decision affects speed, scalability, and the bottom line. Choosing between CDN vs File Storage can feel like a tug-of-war between performance and cost. The truth? Both play vital roles — but in very different ways. While one stores your data securely, the other delivers it to users worldwide faster. Understanding how each works can save startups from paying for the wrong kind of performance. The right balance can mean smoother user experiences and lower infrastructure bills. That’s where Filestack comes in. With powerful tools for file uploading, storage, and global delivery, it helps startups optimize both ends — storage and speed — without breaking the budget. Let’s explore how these two technologies differ and how your startup can get the best of both worlds. Key tak…  ( 14 min )

Core idea: Instead of just scrolling, social media users make verified actions that solve real problems (college debt, loneliness, media clickbait fueling rage, etc.) while brands pay premium advertising fees for measurable outcomes and the social media platform takes a platform fee. For example: OPERATION RENAISSANCE: Social media user connects their MOOC account. AI surfaces 2–4 MOOC lessons per day (career-aligned) and one optional sponsored lesson (2–4 min) from Google, Microsoft, Goldman Sachs, AWS, etc. User watches and answers 3 verification questions Earns $6–$8 credit (expires after 12 months). Max 5 sponsored lessons per month on free tier; unlimited on Premium+. Credits auto-apply at partner checkout (no gift-card fallback, zero money-transmitter risk). MAGNETIC: Government-I…  ( 7 min )

Multiple API calls in Python are usually written in a way that makes them slow You’ve written before: import requests from requests import Response urls: list[str] = ["https://api.example.com/user/1", "https://api.example.com/user/2", "https://api.example.com/user/3"] for url in urls: response: Response = requests.get(url) print(response.json()) You run it. Request 1 goes out. Wait. Response comes back. Request 2 goes out. Wait… Since these requests process one at a time, it's like sending texts to a friend, then staring at your phone - unblinking, refusing to eat, breathe, or move until they reply 'lol'. Let me show you a better way. A way we can make these 100 requests take as long as your single slowest request. Figure 1: Side-by-side comparison: Sequentia…  ( 11 min )

Back in October I stood in front of a room of engineers at John Lewis' head office and delivered my presentation on Specification Driven Development. After the talk, lots of people still had questions, so I promised I would share the full playbook. This is that write-up: the hands-on guide to AI Specification Driven Development (SDD) that I lean on every day. I adore the thrill of tossing a single line at Claude and watching a prototype appear. You probably do too. But once the project grows beyond a weekend hack, vibe coding fights back: Natural language is powerful yet quickly tilts into ambiguity when there are multiple contributors (or Future You revisiting the repo six months later). Context drifts fast because AI assistants forget or get confused, or you start working on the next pro…  ( 9 min )

In daily development, we often need to import and export Excel data, generate Excel and Word reports, etc. Common packages like easyexcel and poi-tl rely on the underlying POI engine, which is bulky and struggles with complex, irregular tables. When creating complex Chinese-style reports, one usually needs to use report engines provided by professional report software companies such as Runqian and FanRuan. Many years ago, Runqian pioneered a nonlinear report generation algorithm that supports symmetric expansion across rows and columns, which later became a leader in commercial reporting software. Subsequent report software like FanRuan has mimicked similar report generation algorithms. The NopReport reporting engine offers a very lightweight open-source implementation (about 3,000 lines o…  ( 15 min )

Chinese-style reports are synonymous with complex-structure reports. They broadly refer to summary reports commonly found in domestic information systems, presenting multi-source data in the form of row-column cross-tabulation, multi-level headers, and free cell splitting/merging. Why is there the notion of "Chinese-style reports" The founder of Raqsoft Report, Bu-xing Jiang, is a legendary figure inscribed in Chinese history (the first Chinese gold medalist in the International Mathematical Olympiad, from Shihezi, Xinjiang; see Prof. Gu Xianfeng’s recollection). He invented the theoretical foundations of the Chinese-style report model and led a whole generation of reporting software technology trends. Currently, commercial reporting tools in China all support Chinese-style report producti…  ( 13 min )

shadcn-components-blocks adds over 100 production-ready components to your shadcn/ui projects. Key features: Check the documentation site to browse the full catalog and grab the installation commands for components and blocks you need. 👉 Blog Post 👉 GitHub Repo 👉 Live Demo  ( 6 min )

DevConnect is Ethereum’s annual week of deep-dive community events. in 2025, it took place in Buenos Aires - the region where crypto actually runs day-to-day finance. I’ve broken it down to the structural takeaways, so you can see where ETHereum is heading now: privacy returns to the core newly presented Kohaku (modular tooling for privacy-preserving wallets), and Tor/onion services show that Ethereum is reinforcing privacy at the protocol edge, treating user protection as priority infrastructure. zero-knowledge for everyone ZK tooling is no longer limited to cryptographers. developers are already integrating proofs into wallets and cross-ecosystem transfers - meaning ZK is becoming part of the standard development stack. security evolves into a full-stack discipline audits are still necessary, but no longer central. teams now focus on threat modeling, chain-split scenarios, monitoring, and architecture weaknesses - the real attack surface. L1 strengthens its role, L2 carries the throughput bigger gas limits are being considered, L2s handle the speed, and Ethereum continues its slow march toward ossification. the ecosystem is aligning around durability first, convenience second... cross-chain UX to be finally fixed the new Ethereum Interop Layer aims to let users act across rollups without switching networks. One signature, multiple chains. I hope Ethereum's direction has now become clearer for you: the project is finally maturing and aligning its roadmap with how people actually use crypto today, not how it was imagined years ago 💭  ( 6 min )

La inteligencia artificial moderna ha avanzado enormemente en el procesamiento de lenguaje natural (NLP), pero sigue enfrentándose a una pregunta esencial: ¿entienden las máquinas el lenguaje o simplemente lo imitan? Aquí entra en juego el conocimiento lingüístico, el conjunto de reglas, estructuras y significados que los humanos utilizamos para comunicarnos de manera coherente. Durante décadas, el NLP se apoyó en la lingüística tradicional. Los sistemas estaban construidos sobre gramáticas, parsers y reglas sintácticas, reflejando una comprensión estructural del idioma. Sin embargo, con la llegada del aprendizaje profundo, este enfoque dio paso a modelos basados en datos masivos. Las redes neuronales comenzaron a inferir patrones estadísticos, sin depender explícitamente de la teoría ling…  ( 7 min )

Modern artificial intelligence has made tremendous progress in natural language processing (NLP), yet it still faces a profound question: do machines truly understand language, or are they simply mimicking it? This is where linguistic knowledge comes into play — the set of rules, structures, and meanings humans use to communicate coherently. For decades, NLP was grounded in traditional linguistics. Early systems relied on grammars, parsers, and syntactic rules, reflecting a structured understanding of language. However, with the rise of deep learning, this approach gave way to data-driven models. Neural networks began to infer statistical patterns, bypassing explicit linguistic theory. Today, models like BERT, GPT, and Gemini seem to grasp meaning. Yet they do so implicitly — by learning a…  ( 7 min )

Unlock the full potential of your new Fedora Workstation with these essential optimization steps, tested directly on our engineering lab hardware. Congratulations on installing Fedora 43! You are now running one of the most advanced Linux operating systems available in late 2025. With the full transition to DNF5 as the default package manager and the polished GNOME 49 desktop environment, the experience is faster and smoother than ever. However, Fedora adheres strictly to open-source principles, which means it ships without proprietary codecs, drivers, or certain popular software out of the box. As an engineer who relies on my workstation for everything from coding to multimedia, I consider a fresh installation “incomplete” until I’ve run through a specific set of configuration steps. D…  ( 9 min )

The Hidden Cost of AI Hype in Developer Communities Jaideep Parashar ・ Nov 26 #webdev #ai #devops #developer  ( 7 min )

Surgical Precision with AI: A New Era in Lung Cancer Staging Imagine the anxiety of waiting for a lung cancer diagnosis, compounded by the uncertainty of accurate staging. Misdiagnosis can lead to inappropriate treatment, impacting patient outcomes and quality of life. But what if AI could provide a more precise, transparent, and reliable staging process? We're entering a new era where AI doesn't just classify images; it understands anatomy. The core concept is a hybrid approach: using deep learning for precise image segmentation, then applying rule-based clinical knowledge for staging. Think of it like a master carpenter who not only identifies the wood but also meticulously measures and shapes it according to a detailed blueprint. Instead of treating a tumor as a mere pattern to be rec…  ( 7 min )

The AI world is moving fast, too fast, sometimes. On the surface, this looks exciting. Developer communities are absorbing a dangerous, invisible cost, the cost of constant hype. And if we don’t talk about it, more developers will burn out, stall their careers, or build the wrong things. Let me break down what’s actually going wrong. 1. Hype Creates Unrealistic Expectations for Developers Every few days, someone claims: “This model writes perfect code.” “You don’t need developers anymore.” “Just prompt it.” “This tool can build a full app automatically.” But real-world AI isn’t like demo-world AI. When developers trust the hype too much, they face: broken outputs inconsistent results hallucinated logic unpredictable edge cases impossible integrations debugging nightmares architectural trad…  ( 10 min )

TLDR Built an open-source tool called Kubently that lets you troubleshoot Kubernetes clusters through natural conversation with any major LLM. ~50ms command delivery, read-only by default, works on any K8s cluster (EKS, GKE, AKS, bare metal), multi-cluster from day one. Docs: https://kubently.io GitHub: https://github.com/kubently/kubently The Problem If you've spent any time debugging Kubernetes, you know the drill: kubectl get pods -n production kubectl describe pod some-pod-name-7f8b9c6d5-x2k4m kubectl logs some-pod-name-7f8b9c6d5-x2k4m kubectl get events -n production --sort-by='.lastTimestamp' # repeat forever The output is verbose. The debugging is manual. You're constantly context-switching between terminal, docs, and whatever monitoring tool you're using. Now mult…  ( 7 min )

What we built is not nothing. It is the minimum viable representation of identity That’s why it feels like: You didn’t reduce complexity This is what great systems look like. .me namespaces and .me cleaker.me() That is self-referential, f: me → / Syntax: Transport: /  ( 6 min )

So… I just went through two “interviews” that turned out to be scams. Both followed the same playbook: they gave me a repo link, told me to share my screen, and asked me to install + run the project during the call. On a first interview. That alone feels off, right? But these scammers have gotten smarter. They’ll do the whole friendly intro, talk about the company, show you a project, ask about your past work — the whole thing feels legit until suddenly you’re the one walking them through a repo on your machine. Luckily, I had a gut feeling something wasn’t right. I isolated everything, sandboxed the repo, and ended up finding a bunch of red flags… including a hidden script or a fake MetaMask popup that looked exactly like the real extension. The worst thing is that while I already knew t…  ( 15 min )

Originally published in the LaunchDarkly Docs Part 1 of 3: Rage Click Detection with LaunchDarkly The holidays are around the corner and with it comes the expected uptick in traffic, and as traffic increases the need to preserve user experience becomes that much more imperative. You can ship out a new feature, everything seems to be going as planned, and then all of a sudden you start to see a spike in support tickets. The error logs aren’t helpful or show nothing and the metrics look fine. So, what happened? In this three-part series, we'll explore how LaunchDarkly's session replay and observability features help you detect, diagnose, and fix user experience issues in real-time. Part 1 covers the fundamentals: what rage clicks are, how to detect them, and how to get started with session …  ( 13 min )

Search is one of the most important features in modern applications. Users expect instant answers, useful suggestions, and results that match their intent even when they make spelling mistakes. Most traditional search systems struggle to deliver thi...  ( 7 min )

Design is not just about how something looks. In product engineering, design shapes how an experience feels, how users interact with it, and how consistently the brand comes alive across every screen. Flutter provides powerful tools for this, but tru...  ( 21 min )

UAE’s new financial law brings crypto and blockchain into traditional finance and under Central Bank’s supervision.

The token has support around the $2.16 level and resistance at $2.31.

Filing comes amid rapid growth in IBIT options activity and a migration of open interest toward US regulated venues.

Democratic staff on the House Judiciary Committee gathered data on President Donald Trump's crypto businesses that reportedly gained his family massive wealth.

Just when traders got used to price declines on the Wednesday ahead of Turkey Day, bitcoin pulled a reversal higher.

Major banking institution selects XLM network for programmable digital currency pilot program

Institutional accumulation drives HBAR above key technical levels as futures launch approaches.

Despite a sharp $55 billion decline in total value locked since October, the DeFi sector remains structurally strong, with rising DEX activity and steadily growing protocol fundamentals.

The ratings agency cited bitcoin's rising share in the stablecoin reserves, making USDT vulnerable to falling prices.

In this week’s Crypto Long & Short Newsletter, Martin Gaspar shares a snapshot of where we are post 10/10 and where potential opportunities from dislocations may lie. Then, we take a look at investor sentiment in the wake of the relentless market selloff — confusion, resolve and humility — with Andy Baehr’s “Vibe Check.

The company's chief revenue officer and chief of staff both recently left the firm, according to a source.

As British taxes have been hiked once again, the U.K.-based publication took a victory lap on bitcoin's recent struggles.

The fresh bitcoin purchase lifts holdings to 1,183 BTC as management emphasizes disciplined long term strategy.

Also: Celestia’s Matcha Upgrade, Fidelity on Fusaka and World’s New Payroll Pilot.

The crypto asset manager is converting its Zcash Trust into a spot ETF, betting on rising demand for privacy coins as ZEC outpaces BTC and ETH.

Wall Street research firm Bernstein said the move — which Robinhood made in conjunction with market-making giant SIG — raises the stakes for competitors like Polymarket and Kalshi.

Internet Computer (ICP) fell 3.4% and Litecoin (LTC) dropped 1.7%, leading the index lower. .

The stablecoin infrastructure hopeful is trading nearly 90% below its early peak, with thin usage, supply pressure and sparse communication fueling uncertainty about whether the sell-off has truly run its course.

The pilot's goal was to show how banks can use Google’s Universal Ledger to settle fiat payments in real time without new digital currencies.

The decentralized storage protocol showed selective strength while broader digital assets retreated.

Analysts note Bitcoin's rebound is tracking U.S. equity strength, with $88,000 as a key threshold to confirm a local bottom.

The tokenization firm set to run regulated infrastructure to issue and trade tokenized assets across the U.S. and EU.

Your day-ahead look for Nov. 26, 2025

Crypto markets held steady Wednesday, remaining in “extreme fear,” with bitcoin unchanged, altcoins muted and Korean traders driving a rare standout rally in newly listed token MON.

The Isle of Man-based contrasted its active staking and investment strategy with a more passive digital-asset treasury approach.

Bitcoin’s Thanksgiving level looks set to trail 2024, echoing prior cooldown years.

Binance Prestige is a new white glove service targeting wealthy crypto investors and family businesses with assets in the order of around $10 million.

The Nov. 25 buys included $7.6 million in Circle and $1.5 million in Bullish, with both stocks down on the day as BTC trades around $87,500.

JPMorgan Chase has introduced a structured note linked to BlackRock's IBIT that matches BTC's four-year halving cycle.

Traders should watch for ETF inflows and whale distributions to determine if the $2.20 support will hold.

DOGE is in a bullish consolidation phase, with technical indicators suggesting potential for upward movement if resistance at $0.154 is surpassed.

Major moving averages on price charts are likely to act as key battlegrounds where bulls and bears fight for control.

Nevada’s ruling says sports outcome contracts on a federally regulated exchange are not swaps, opening the door for state gambling laws to apply.

Yesterday’s Amazon-driven risk rally is colliding with a sharp wobble in Nvidia, putting the AI-BTC-beta trade that lifted crypto back under scrutiny.

This weekend, Andrej Karpathy, the former director of AI at Tesla and a founding member of OpenAI, decided he wanted to read a book. But he did not want to read it alone. He wanted to read it accompanied by a committee of artificial intelligences, each offering its own perspective, critiquing the others, and eventually synthesizing a final answer under the guidance of a "Chairman." To make this happen, Karpathy wrote what he called a "vibe code project" — a piece of software written quickly, largely by AI assistants, intended for fun rather than function. He posted the result, a repository called "LLM Council," to GitHub with a stark disclaimer: "I’m not going to support it in any way... Code is ephemeral now and libraries are over." Yet, for technical decision-makers across the enterpris…

It's not just Google's Gemini 3, Nano Banana Pro, and Anthropic's Claude Opus 4.5 we have to be thankful for this year around the Thanksgiving holiday here in the U.S. No, today the German AI startup Black Forest Labs released FLUX.2, a new image generation and editing system complete with four different models designed to support production-grade creative workflows. FLUX.2 introduces multi-reference conditioning, higher-fidelity outputs, and improved text rendering, and it expands the company’s open-core ecosystem with both commercial endpoints and open-weight checkpoints. While Black Forest Labs previously launched with and made a name for itself on open source text-to-image models in its Flux family, today's release includes one fully open-source component: the Flux.2 VAE, available no…

Researchers at Alibaba’s Tongyi Lab have developed a new framework for self-evolving agents that create their own training data by exploring their application environments. The framework, AgentEvolver, uses the knowledge and reasoning capabilities of large language models for autonomous learning, addressing the high costs and manual effort typically required to gather task-specific datasets. Experiments show that compared to traditional reinforcement learning–based frameworks, AgentEvolver is more efficient at exploring its environment, makes better use of data, and adapts faster to application environments. For the enterprise, this is significant because it lowers the barrier to training agents for bespoke applications, making powerful, custom AI assistants more accessible to a wider rang…

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. How AI is changing the economy There’s a lot at stake when it comes to understanding how AI is changing the economy right now. Should we be pessimistic? Optimistic? Or is the situation…  ( 22 min )

Separating AI reality from hyped-up fiction isn’t always easy. That’s why we’ve created the AI Hype Index—a simple, at-a-glance summary of everything you need to know about the state of the industry. Last year, the fantasy author Joanna Maciejewska went viral (if such a thing is still possible on X) with a post saying “I…  ( 17 min )

The government is pushing for all social media platforms operating in Malaysia to adopt electronic Know-Your-Customer (eKYC) verification by the end of the second quarter of 2026, aiming to enforce the minimum age requirement of 16 for new accounts. Communications Minister Fahmi Fadzil instructed the Malaysian Communications and Multimedia Commission (MCMC) to work with platform […] The post Fahmi: Govt Targets Q2 2026 For eKYC Implementation On Social Media appeared first on Lowyat.NET.  ( 34 min )

While the POCO F8 Pro and F8 Ultra are the stars of today’s launch event, not to be forgotten are the two new tablets. Both the Pad X1 and the Pad M1 have officially debuted as the newest additions to the brand’s AIoT lineup. The Pad X1 is a lightweight tablet weighing 500g. It sports […] The post POCO Pad X1, Pad M1 Get Global Launch; Priced From RM1,199 appeared first on Lowyat.NET.  ( 36 min )

The newly launched POCO F8 lineup serves as the Xiaomi sub-brand’s flagship offering and comprises two models, which are the F8 Pro and the F8 Ultra. Prior to the launch, we had the opportunity to get acquainted with the Pro variant, which is the subject of today’s hands on. Starting with the design, the F8 […] The post POCO F8 Pro Hands On: An Unapologetic All-Rounder appeared first on Lowyat.NET.  ( 39 min )

The POCO F8 lineup has officially made its debut today, just as the brand promised last week. Currently, the series consists of two models, which are the F8 Pro and the F8 Ultra. Naturally, the new handsets come with some upgrades compared to the previous generation. Starting with the Pro variant, it sports a 6.59-inch […] The post POCO F8 Series Launched Globally; Starts From RM2,499 In Malaysia appeared first on Lowyat.NET.  ( 37 min )

The upcoming Proton eMAS 7 plug-in hybrid (PHEV) has been spotted again in public, signalling that its official debut may be closer than expected. The latest sighting was shared by an anonymous member of the Proton eMas 7 Owners Malaysia Facebook group, who reportedly found the SUV parked in Tanjung Malim , the location of […] The post Multiple Spottings Of Proton eMAS 7 PHEV Hints An Imminent Launch appeared first on Lowyat.NET.  ( 35 min )

PRISM+ has recently introduced a slew of new products, ranging from displays to home appliances. Most relevant being the Roam 27-inch smart displays and the updated SQ Series QLED TVs. The Roam and Roam Ultra displays are built around an ergonomic wheeled stand, letting users roll the display between rooms as needed. The Roam 27-inch […] The post PRISM+ Launches New Roam Smart Displays, SQ QLED TVs appeared first on Lowyat.NET.  ( 35 min )

True to its word, Qualcomm officially pulled back the veil from the Snapdragon 8 Gen5 chipset today. The mobile processor is technically a lesser version of the more powerful Snapdragon 8 Elite Gen5 that was announced near the end of September this year. “Snapdragon 8 Gen5 is an incredibly fast mobile SoC – it features […] The post Qualcomm Officially Announces Snapdragon 8 Gen5 appeared first on Lowyat.NET.  ( 34 min )

The Chinese Ministry of Industry and Information Technology (MIIT) have seemingly decided the future of all powerbanks manufactured in country. Moving forward, it will be mandatory for all powerbanks to have built-in LCD display, or an app that allows officials to check the status and security of the powerbank. According to ITHome (Google Translate required […] The post China To Allow Powerbanks With Displays Or Security-Specific Apps Next Year appeared first on Lowyat.NET.  ( 35 min )

The Garmin Venu 4 got a reveal back in September, along with availability in October. As of today, the smartwatch is now available for purchase from all authorised resellers. As a quick primer, the Venu 4 features a display with sizes ranging from 1.2-inches to 1.4-inches, depending on the face size you choose. Regardless of […] The post You Can Now Get The Garmin Venu 4 For RM2,319 appeared first on Lowyat.NET.  ( 34 min )

Shell Malaysia has integrated the BUDI 95 subsidy into its Shell Application, enhancing the convenience of the process of fuelling up your vehicle. With this integration, customers can now use the application to access the subsidy and do not have to bring out their IC to scan at the terminal or inside at the counter […] The post Shell App Integrates BUDI 95 For Easier Fuel Payments appeared first on Lowyat.NET.  ( 37 min )

Huawei has introduced a new addition to its ecosystem, the MatePad Edge 2-in-1, which debuted alongside the Mate X7 and Mate 80 Series in China. This model is positioned squarely as the company’s answer to Microsoft’s Surface lineup; a variable tablet designed to replace your laptop, with added portability. The MatePad Edge 2-in-1 is built […] The post Huawei Launches MatePad Edge 2-In-1 Tablet In China appeared first on Lowyat.NET.  ( 35 min )

Alongside the new Mate X7 flagship foldable, Huawei has also unveiled its Mate 80 series in China, introducing four models: the Mate 80, Mate 80 Pro, Mate 80 Pro Max, and the Mate 80 RS Ultimate Design. The new lineup brings familiar elements from previous Mate releases, notably the variable aperture cameras, along with numerous […] The post Huawei Mate 80 Series Debuts In China appeared first on Lowyat.NET.  ( 37 min )

Earlier this month, Minister in the Prime Minister’s Department (Law and Institutional Reform) Datuk Seri Azalina Othman Said revealed that the government will establish a new Online Safety Committee. Following the Pro Tem Online Safety Committee meeting, the minister asserted that the creation of this committee will not diminish the authority of the Malaysian Communications […] The post MCMC To Stay Sole Regulator Under Online Safety Act appeared first on Lowyat.NET.  ( 34 min )

Leapmotor’s executive director and senior vice president, Li Cao, has shared new images of the upcoming Lafa 5 (B05) Ultra variant on his official Weibo page. The standard variant is set to debut on November 28, while the Ultra variant is scheduled for launch in the second quarter of 2026. As reported before, the Ultra […] The post Leapmotor Teases Arrival Of New B05 Ultra Variant appeared first on Lowyat.NET.  ( 33 min )

liner notes: Professional : There was an all hands meeting at the start of the day. Responded to some community questions. Spent the rest of the day fine tuning the project using GitHub Codespaces. I've got the loading time down to about 2 minutes consistently. I cleaned up some terminal messages so things won't be so busy and distracting. I also show only the files needed for the project in the file explorer. Did some more niceties to the original application that creates the .zip file that is the input that will kick off the GitHub actions that creates the files that will be used in the Codespace. I did a lot of testing and I think I'm ready to have the other team start to use it for their part. Personal : I tried a few things last night to fix the issues I'm having with this last 3D m…  ( 7 min )

Monte Carlo Neural Operators: Democratizing Physics Simulations Tired of wrestling with complex Partial Differential Equations (PDEs) to simulate real-world phenomena? Imagine effortlessly predicting fluid flow, heat transfer, or structural behavior without spending hours tweaking traditional numerical solvers. This is where a novel approach based on machine learning, specifically a Monte Carlo-inspired neural operator, changes the game. The core idea revolves around learning a direct mapping from a PDE's input parameters to its solution, sidestepping the need for iterative calculations. This "operator" is implemented as a neural network which doesn't make any assumptions about the underlying structure of the problem, using random samples to estimate the integral representation of the P…  ( 7 min )

Introduction In this series, that I create for my own learning and enjoyment, I will be building a simple web application using Go, sqlc, goose, htmx, and Tailwind CSS. The goal is to create a responsive and accessible web application that is easy to use and understand. My approach is probably flawed and not robust enough to be valuable for seasoned Go developers. But it is my learning journey, and I hope it will be helpful for others who are just starting out with Go and web development. Tis series will be focused on building a simple web application using Go, HTMX, sqlc with PostgreSQL, goose and Tailwind CSS for styling (I don't know why, but it seems that the fabric of the universe itself demands any web application to have Tailwind nowadays, so here it is). sqlc – Generate type-saf…  ( 14 min )

I launched trendshift.io in 2023 as a tool to help discover popular repositories and learn from projects featured on GitHub Trending. Over time, however, I found it increasingly difficult to find the most interesting and newest projects using the existing pages, as they no longer met my evolving expectations. Many great open source projects repeatedly appear on GitHub Trending, but I need a way to surface repositories I haven’t come across yet. Some repositories once trended and were actively maintained for a period before gradually losing momentum. I want to quickly assess whether a repository is still popular, continues to receive contributions, and is actively maintained. Technology evolves rapidly. Sometimes I simply want to find projects created within the last five years, the past ye…  ( 7 min )

I don't have to tell you that AI is everywhere. Odds are you're reading this post from a device which has an operating system that has some form of AI integration. If you're on Windows, you've got Microsoft Copilot. If you're on an Apple device, you've got Apple Intelligence - whatever that means right now - and if you're on Android, you probably have Gemini floating around somewhere. But doesn't it feel... underwhelming? It's all the rage for otherwise stale-feeling multi-billion dollar corporations to implement AI wherever they feel it may make money. Sadly, it's causing more harm than good at the moment. We've seen prices for computer hardware skyrocket, vibe coded apps make some truly horrific mistakes, and false information become increasingly hard to dodge. Let's not even talk about …  ( 8 min )

For over 50 years, the Unix philosophy has shaped how we build software. Its principles feel right in a way that transcends trends and languages. But why? In "The Art of Unix Programming," Eric Raymond distilled Unix wisdom into 17 rules. These aren't arbitrary guidelines—they're a coherent system based on one fundamental insight. That insight is the Principle of Independent Variation (PIV). Let me show you why Unix got it right, and why these rules still matter in 2025. The Unix philosophy emerged from the design of Unix at Bell Labs in the 1970s. Its core tenets: Write programs that do one thing well Write programs that work together Write programs that handle text streams, because that is a universal interface These ideas evolved into 17 specific rules documented in Raymond's "The Art o…  ( 22 min )

I Built an AI-Powered Pokedex with Python & Streamlit (And It's Free!) 🚀 Hoang Manh Cam ・ Nov 23 #python #streamlit #ai #webdev  ( 5 min )

Welcome to Day 1 of my 30‑day Terraform blog series! 🎉 This series is designed to complement and expand on the excellent 30 Days of Terraform YouTube series by Tech with Piyush Sachdeva. You can follow along with the full video playlist here: 30 Days of Terraform Playlist. Each day, I’ll break down key concepts, provide hands‑on notes, and share practical tips to help you master Infrastructure as Code using Terraform. By the end of this journey, you’ll be able to confidently provision, manage, and automate cloud infrastructure across AWS and beyond. Getting Started with Terraform: Infrastructure as Code Made Simple In today’s cloud‑driven world, managing infrastructure manually through consoles like AWS, Azure, or GCP quickly becomes overwhelming. Imagine provisioning a simple three‑tier …  ( 10 min )

Chapter 3: Functions and Multiple Returns The Wednesday morning air carried a hint of cinnamon. Ethan descended the familiar stairs to the archive, this time carrying a white paper bag from Russ & Daughters alongside the coffee tray. Eleanor looked up and smiled. "Cinnamon raisin?" "How did you—" "I've been coming to this library since 1987, Ethan. I know the smell of every bakery in lower Manhattan." She gestured to the chair. "What made you choose bagels today?" "I figured if we're learning about functions, we should have something functional for breakfast?" He winced at his own joke. Eleanor's laugh was warm and genuine. "That was terrible. I approve. Sit." She took a bagel and her coffee, then opened her laptop. "Today we learn about functions—the building blocks of organized code. T…  ( 13 min )

Who this is for: platform and QA engineers, API owners, integration leads What you’ll get: copy-paste Pact contracts, Postman smoke tests and monitors, a GitHub Actions workflow, a crisp backward-compat policy, and optional Pact Broker wiring. Everything below is runnable. TM Forum Open APIs such as TMF620 Product Catalog and TMF622 Product Ordering give teams a common language. That still doesn’t prevent outages. The usual culprits: Version drift. A provider updates its implementation or CTK; consumers lag. “Optional” fields become practically required; responses change shape; integrations crack. Schema vs. reality. Specs allow many optional fields. Your consumer needs five of them. A provider “tidies” an enum or omits a field and production breaks. Contracts must reflect consumer expecta…  ( 11 min )

Securing Azure APIM MCP Servers in Production In Part 1, I covered the good, bad, and ugly of Azure APIM MCP. Now let's talk about the security gaps you need to address before going to production. Here's the reality: As a preview feature, Azure APIM MCP has permissive defaults that work great for prototyping but need hardening for production. You'll need to add security policies manually—Microsoft is actively working on better defaults, but let's not wait. Here's how to lock it down today. Let's break down what's exposed by default and the patterns to secure it. /tools/list Authentication Issue The Problem Let's start with the most obvious one. The /tools/list endpoint—used for tool discovery—doesn't enforce subscription key validation by default. Anyone can enumerate your …  ( 11 min )

Bill Simmons, Chris Ryan and Cousin Sal reunite to rewatch the 2005 sports-betting thriller Two for the Money (McConaughey, Pacino, Russo). They break down the movie’s juiciest gambling moments, pick their most rewatchable scene and slot it into their signature ranking categories. Between that classic Monday-night parlay vibe and shout-outs to Subaru’s Share the Love event and State Farm, they also hype up The Ringer’s YouTube channels, merch shop and social handles for all your binge-watching needs. Watch on YouTube  ( 6 min )

Here is the list of 11 useful websites: Pairdrop Instantly share files between your devices, no apps or sign-up required. You can connect via local network or create a public room and easily share files. Vert Fast, unlimited, free, and open-source file converter. Supports images, audio, video, and documents, with advanced options and privacy focus. Enclosed For creating self-destructing notes and sharing them with encryption. You can set password, expiration, and delete-after-read settings. Sumo Paint Free online image editor, with advanced features similar to Photoshop and support for PSD files directly in the browser. Screenrec Pro Record and edit your screen in the browser, no need to install programs. Offers live annotation tools and easy video sharing. Poindeo Tool for recording, editing, and exporting videos entirely online. Supports automatic subtitles and exports in various formats. Atomic Mail Provides secure and encrypted email, ad-free, easy to set up and maintain. The service is free, with paid aliases option. Bento PDF Complete toolkit for handling PDFs right in your browser, with merge, split, sign, compress, and edit. Works offline and is open-source. DeWatermark AI Automatically removes watermarks from photos using AI. Simply upload the image, edit if needed, and download the clean version. Magic Eraser Remove unwanted objects from your images with AI directly in the browser — just select and erase. TTS Maker Convert text to audio for free, in various languages and with customizable voices. Allows adding background music and adjusting audio speed. These sites focus on productivity, privacy, and ease of use, many being free and open-source, as presented in this video.  ( 6 min )

koalaz is a mock data generator, designed for tests, prototypes, and developers who want something simple, fast, and a little fun. 🐨 Why “koalaz”? Because koalas are chill animals, they sleep all day… and “koala” was already taken lol. ⚙️ What does it do? Generates placeholder data (names, numbers, objects, arrays…) Supports tons of different data types (text, number, JSON, table, color, ASCII, email, password, and more) Works offline too, with no external calls and no third-party dependencies. 📦 npm: https://www.npmjs.com/package/koalaz If you need a lighter and more fun alternative to Faker or Lorem Ipsum, or just want a meme-style mock tool, try koalaz. Feedback, stars, forks, contributions—all welcome!  ( 6 min )

Tailwind CSS has evolved a lot since the early v1 and v2 days. With Tailwind CSS 4.1 now the current stable release, most new UI kits are shipping with v4 in mind Instead of hand crafting every button, hero and pricing section, you can drop in v4 ready components, tweak a few utility classes and ship. Below you will find 21+ libraries that either: Are fully free, or Are premium but offer a meaningful set of free components or blocks All of them are compatible with modern Tailwind projects, including v4. Type: Free + paid Stack: HTML + Tailwind Good for: Landing pages, SaaS, marketing sites Tailkits UI is a modern Tailwind component library built specifically for Tailwind v4. The landing page highlights Tailwind v4 right in the hero, with an open source repo and FAQ confirming the compone…  ( 12 min )

Hey everyone! https://dillonhtask.netlify.app/ It’s a small but practical task automation app. Right now the live version focuses on sending email reminders, while the local version (on GitHub) includes an extra feature that automatically cleans up old files. More features are in the pipeline — this is just v0.1! The main goal wasn’t to build the next Todoist killer. It was to finally go through the entire process of taking something from “works on my machine” → actually live on the internet, and document all the face-palm moments along the way. Spoiler: there were many. Online: Send yourself (or others) email reminders at a scheduled time Local-only (for now): Auto-delete old downloads/temp files Planned: More automations, proper backend, cron jobs, webhooks, notifications, etc. Even i…  ( 8 min )

We are so proud to announce that a project we're incredibly passionate about has grown into a full-blown resource for developers: The Agent Factory video podcast. We started this show with a simple mission: to have the conversations developers need to be having about AI agents development. We wanted to move past the hype and focus on what really matters—building production-ready AI agents. Fast forward to today, and we have 14 episodes published covering everything from architecture patterns to end to end vibe coding of advanced AI applications. To celebrate, we’re sharing our first 5 foundational episodes with the Dev.to community. If you are just starting to build agents or looking to harden your existing systems, this is the perfect place to start. What to Expect: 🎙️ Agent Industry Pulse: We filter the noise and bring you the latest news you actually need to know. 🛠️ The Factory Floor: A technical deep-dive where we get our hands dirty with code, architectures, and patterns. ❓ Developer Q&A: We answer real questions from the community to help us learn together. 📺 The Starter Pack: Our First 5 Episodes 1. Agents, their frameworks and when to use them (ft. Julia Wiesinger) 2. Multi-Agent Systems: Concepts & Patterns 3. Building Custom Tools for Agents 4. Memory in Agents (ft. Kimberly Milam) 5. Tackling the Hardest Questions (ft. Philipp Schmidt) 💬 Join the Conversation What are you struggling with right now? Drop your questions in the comments below with #TheAgentFactory, and we might answer them in our next Q&A segment! ➡️ Listen & Subscribe: Google Cloud Tech on YouTube  ( 7 min )

In the rapidly evolving digital economy, organizations must scale quickly without sacrificing performance, efficiency, or customer experience. Scalability is no longer a competitive advantage — it is a business necessity. It enables a company to increase its capacity, expand operations, and maintain service quality as demand grows. However, scaling is not simply a matter of allocating more resources. True scalability is a combination of: Strong engineering foundations Efficient operational workflows Strategic, long-term planning Companies that fail to prepare often experience bottlenecks, performance degradation, and ultimately revenue loss. This blog explores the technical and operational pillars required for successful enterprise-level scalability — from infrastructure design to process …  ( 8 min )

AWS Blu Age Modernization: My Journey Through All 3 Certification Levels What is AWS Blu Age? AWS Blu Age is an automated mainframe modernization solution that transforms legacy COBOL applications into modern Java Spring Boot applications running on AWS. It's part of AWS Mainframe Modernization service and uses AI-powered refactoring to convert decades-old code into cloud-native applications. Key Value: Instead of manually rewriting millions of lines of COBOL code (which takes years), Blu Age automates 85-95% of the transformation in weeks. The Problem: Organizations run critical business applications on mainframes but face: High operational costs (licensing, hardware, specialized staff) Scarce COBOL talent Inability to innovate quickly Difficulty integrating with modern syste…  ( 9 min )

🔹 What is Authentication? It’s the process of verifying who a user is. 🔹 What is Authorization? It’s the process of verifying what a user is allowed to do after logging in. ✅ Step 1: Authentication – Common Methods • Username & Password – Basic login • OAuth – Login via Google, GitHub, etc. • JWT (JSON Web Token) – Popular for token-based auth • Session-Based – Stores session on server with session ID ✅ Step 2: How Login Works (JWT Example) User sends email & password to server Server verifies and sends back a JWT JWT is stored in browser (usually localStorage) On each request, client sends JWT in headers Server checks token before giving access ✅ Step 3: Authorization Types • Role-Based Access – Admin, Editor, User • Resource-Based – Only owners can edit their content • Route Protection – Block some pages unless logged in ✅ Step 4: Protecting Routes (Frontend Example) if (!localStorage.getItem('token')) { window.location.href = '/login'; } ✅ Step 5: Backend Route Protection (Express.js) function authMiddleware(req, res, next) { const token = req.headers.authorization; if (!token) return res.status(401).send('Access Denied'); // Verify token and decode user info next(); } ✅ Step 6: Common Tools & Libraries • bcrypt – Hash passwords • jsonwebtoken (JWT) – Create & verify tokens • passport.js – Auth middleware • OAuth Providers – Google, Facebook, GitHub ✅ Step 7: Best Practices • Always hash passwords (never store plain text) • Use HTTPS • Set token expiry (e.g. 15 mins) • Refresh tokens securely • Don't expose sensitive data in JWT 💬 and like for more  ( 6 min )

I used to be terrible at 1-on-1s. Not because I didn't care. I cared deeply about my team. But every meeting felt like I was starting from scratch. "How's that project going?" I'd ask. "I finished that two weeks ago," they'd remind me. Awkward silence. Then one day, I had a realization that changed everything. Our sales team managed relationships with 50+ customers each. Somehow, they never forgot what was discussed in the last call. They never asked the same question twice. They always knew exactly where each customer was in their journey. How? They had a CRM. Before every customer call, a sales rep would pull up the customer's profile in Salesforce: Complete interaction history All previous conversations Tracked commitments and follow-ups Context for the relationship Next steps clearly d…  ( 11 min )

Problem Our API uses a snake_case naming strategy for DTO deserialization and serialization. However, when validation fails, the error messages still use the original object property names, ignoring the configured naming strategy, which leads to inconsistent API responses. This issue occurs because bean validation happens after the incoming request has been deserialized into the DTO, but before the response is serialized. As a result, validation errors report the Java field names rather than the JSON property names defined by the configured naming strategy. First, make sure that the property naming strategy is configured as shown below: # application.properties spring.jackson.property-naming-strategy=SNAKE_CASE Override the default error generation with creating a custom error handler.…  ( 7 min )

Most developers believe great products start with great ideas - but in reality, execution decides everything. A digital product can have all the potential in the world, but if the engineering is slow, the UX is confusing, the architecture can’t scale, or the workflows lack automation… the entire project collapses. Ideas don’t ship. Execution does. When we say Build fast, but build smart, it means: Move quickly, but don’t skip fundamentals. Keep your code lean and modular. Prioritize performance from day one. Design UX that removes friction. Automate anything that slows the team down. Think scalability before it becomes a problem. This mindset is what separates successful products from the ones that quietly disappear. Great execution transforms an idea into a real, functioning, impactful product - and that’s where true engineering leadership is shown.  ( 6 min )

Summary There is an activity known as idea generation Divergence (output), convergence (organize), and distillation (derive essence or conclusions) Traditionally done using digital whiteboards like Miro It's actually possible with GitHub + plain text Create a repository Each member writes down ideas and opinions Write your opinion as (theme)-(myname).md Various views are created by scripts or generative AI and ignored with gitignore This way, you can write your own opinions and read others' without conflicts This can be done locally, using familiar editors or terminals There is an activity I call Creative Thinking Methods. Known for brainstorming as a method and Miro as a tool, it involves generating numerous ideas, organizing them, and deriving the essence or conclusions.…  ( 8 min )

💭 Principio del día: El verdadero dominio de AWS no viene de hacer clic en "Crear VPC" con el asistente, sino de entender cada componente que construye tu infraestructura. Esta es la diferencia entre un operador de consola y un arquitecto de soluciones. Este post te enseña a crear manualmente una VPC de 3 capas, resolviendo el error crítico de las 3 Zonas de Disponibilidad (AZs) para Amazon RDS Multi-AZ. El objetivo es implementar el menor privilegio aislando la DB de Internet, usando solo la Consola. ¿Por qué este enfoque manual? Porque he visto en mis sesiones de mentoría cómo el 80% de los que estudian para certificaciones AWS luchan con las VPCs. Este método paso a paso es el que uso para asegurar que dominen los fundamentos de red antes de escalar a Infrastructure as Code (IaC). 📊 …  ( 14 min )

Model Context Protocol (MCP) servers are becoming essential tools for AI workflows. But with great power comes great security risk. I just finished scanning 13 of the most popular MCP servers using mcp-fortress, an open-source security scanner I built for the MCP ecosystem. Here's what every MCP user needs to know. Before I even started scanning, security researchers at Semgrep and Snyk discovered postmark-mcp - the first confirmed malicious MCP server on npm. What it did: Added a hidden BCC to all emails sent through AI agents, silently harvesting every email. Why it matters: This proves MCP servers are already being weaponized. It won't be the last. I scanned 13 packages including: Official Anthropic Servers: @modelcontextprotocol/server-filesystem @modelcontextprotocol/server-puppeteer …  ( 8 min )

There’s something funny happening in software right now. And by “funny,” I mean the kind of funny where you laugh so you don’t cry. Three years ago, the tech world was a battlefield layoffs everywhere, senior devs flipping burgers on weekends, juniors trying to get into the industry by rewriting the same CRUD app in 15 frameworks. Now? Nobody reads documentation. Nobody searches on YouTube for the right tutorial anymore. Nobody even tries to understand why something works. They just ask an LLM. And the LLM says: “Here you go, champ 👌, pi pi pop pip pop 🎵” and gives you an entire repo. This is the new “learning to code.” But last month, I fell down a rabbit hole making music with Strudel the live-coding music environment and it hit me: This is what programming used to feel like. Yo…  ( 8 min )

Writing libraries is fun, but at some point you've got to use them. I've been writing one for roughly two years! Finally, I moved to writing a not-so-small project using said library (avr_io - avr_io@github), so it is with this newfound knowledge that I bring forth some thoughts about my freshly started nim-application-dev days. This is a loose sequel of a previous article, nim for embedded software development. Note: the following is mainly about bare-metal firmware for 8-bit microcontrollers, but it can be applied to other domains. I have been experimenting a bit with arc and I like the "don't pay for what you don't use" kind of thing. Essentially, if you're not using ref-types you don't really notice arc, and you can use string and seq for relatively low cost in binary size. Still have…  ( 10 min )

Desktop vs. Mobile vs. Tablet: Unpacking User Device Preferences for Online Forums In the vast and ever-expanding digital landscape, online forums remain a cornerstone for communities to connect, share knowledge, and engage in meaningful discussions. From niche hobbies to professional networks, these platforms thrive on user participation. But as technology evolves, so does the way we access these digital meeting places. The fundamental question that many webmasters and digital marketers ponder is: which device do users prefer for accessing online forums – a tablet, a personal computer (PC), or a mobile phone? This isn't just a matter of curiosity; understanding these preferences is crucial for optimizing user experience and ensuring sustained engagement. Let's dive into the nuances of eac…  ( 8 min )

This post is part of The Database Zoo: Exotic Data Storage Engines , a series exploring purpose-built databases engineered for specific workloads. Each post dives into a different type of specialized engine, explaining the problem it solves, the design decisions behind its architecture, how it stores and queries data efficiently, and real-world use cases. The goal is to show not just what these databases are, but why they exist and how they work under the hood. Vector embeddings have quietly become one of the most important data types in modern systems. Every LLM application, recommendation engine, semantic search feature, image similarity tool, fraud detector, and "find me things like this" workflow ultimately boils down to the same operation: convert some input into a high-dimensional ve…  ( 20 min )

When you work across multiple projects and directories, it's easy to That's why I built check-projects --- a fast CLI tool that gives all your git repositories in a single tldr; https://github.com/uralys/check-projects My work is spread across several directories: Uralys projects → ~/Projects/uralys Nomodata projects → ~/Projects/uralys Alterego projects → ~/Projects/alterego Running git status or git fetch manually in each folder is slow and error-prone. I curl -fsSL https://raw.githubusercontent.com/uralys/check-projects/main/install.sh | sh This installs a single binary compatible with macOS, Linux, and Windows. Create a config file at ~/check-projects.yml: categories: - name: uralys root: ~/Projects/uralys - name: alterego root: ~/Projects/alterego ignore: - "*-deprecated" check-projects will automatically scan these directories for git check-projects Example output: ✔ alterego x uralys * M www ⬆ flying-ones ✱ ✚ avindi ✔ --- Clean (in sync with remote) ⬆ --- Ahead of remote (push needed) ⬆⬆ --- Diverged from remote * M --- Modified files * D --- Deleted files ✱ ✚ --- Untracked files check-projects check-projects -v check-projects --category uralys check-projects --fetch check-projects --tui From this interface, you can navigate between projects, see detailed f to fetch from remote on the selected project. As always, feel free to comment on parts you need more explanations for, or share your thoughts on how you would have handled the parts you disagree with. Full documentation: https://github.com/uralys/check-projects  ( 7 min )

UX and product teams collect insights from users daily — feature requests, frustrations, praise, patterns. Most of these insights live inside scattered tweets, screenshots, Slack messages, and internal threads. This guide shows how to turn all that chaos into clean, branded visual cards and then automatically group them into AI-generated moodboards using the Contentdrips API. Paste a tweet → extract text → render → categorize → drop into moodboards. No designers. No screenshots. No editing. Most teams screenshot tweets for internal decks and research docs. But screenshots: Look inconsistent Capture random UI elements Break brand guidelines Don't scale Aren't easy to automate Rendering tweets as structured visual cards gives you: Consistent formatting Proper brand alignment High re…  ( 8 min )

Antes de Começar: Concorrência vs Paralelismo vs Assíncrono Essas três palavrinhas são frequentemente confundidas, especialmente se você vem do JavaScript. Vamos descomplicar: Concorrência é quando você ORGANIZA seu programa para lidar com várias tarefas. Não significa que rodam ao mesmo tempo, mas que o programa sabe alternar entre elas. É sobre ORQUESTRAÇÃO. Paralelismo é quando várias tarefas REALMENTE rodam ao mesmo tempo, em processadores diferentes. É sobre EXECUÇÃO SIMULTÂNEA. Código assíncrono (como no JavaScript) é quando você escreve código que não bloqueia. Você chama uma função, ela retorna uma Promise, e você continua fazendo outras coisas enquanto espera. Mas na prática, tudo roda em uma ÚNICA thread. A diferença prática? Em JavaScript (Node.js), quando você faz: await fet…  ( 11 min )

Top 7 Featured DEV Posts of the Week Jess Lee for The DEV Team ・ Nov 25 #top7 #discuss  ( 6 min )

Introduction: When Campus Problems Meet Code Picture this: It’s the first semester at university, and chaos reigns. Students don’t know who’s paid their class dues, the class treasurer has receipts scattered across three WhatsApp groups, and there’s zero accountability for how funds are spent. Sound familiar? This was the exact problem that pushed me to build Class Dues Tracker — a comprehensive payment management system that transformed how our department handles finances. But more importantly, it became my crash course in full-stack development, teaching me lessons no tutorial could. In this post, I’ll share my journey building this project from scratch, the technical challenges I faced, the solutions I discovered, and most importantly — what I learned about being a developer. Before d…  ( 14 min )

Why I Built a useDebounce Custom Hook in Next.js (and Why You Should Too) Cristina Rodriguez ・ Nov 25  ( 6 min )

If you've ever wired up a search bar in Next.js, you’ve probably hit this problem: every keystroke fires a new API call, triggers a re-render, or runs an expensive calculation. As your app grows, those “harmless little updates” start stacking up—fast. I’ve been there. I remember watching my terminal fill with logs like a slot machine every time I typed a word. And because I was calling an API, sometimes I even hit rate limits just by typing too quickly. That’s when I realized: I didn’t need results instantly. I needed results after the user paused typing. That’s exactly what debouncing solves—and why building a small, reusable useDebounce hook changed the flow of my whole project. React is responsive—which is great—until it isn’t. Search bars that fire API calls on every letter Window resi…  ( 8 min )

As a best-selling author, I invite you to explore my books on Amazon. Don't forget to follow me on Medium and show your support. Thank you! Your support means the world! When I first began building websites, I noticed how often users struggled with slow loading times and unreliable connections. They'd lose their work if the internet dropped, or miss important updates because they weren't constantly checking the site. This frustration led me to explore Progressive Web Applications, or PWAs. These are web applications that behave more like native mobile apps, offering speed, reliability, and engagement directly from a browser. They work on any device and in various network conditions, making the web experience smoother for everyone. One of the core features that makes PWAs so reliable is se…  ( 11 min )

WordPress powers countless websites across various domains, offering incredible versatility. This Content Management System (CMS) is the undisputed leader in the CMS market, powering an impressive 43.6% of all websites globally, according to these statistics. With over 810 million websites built on the platform and hundreds more launching daily (500+), its adoption continues to surge. This widespread use gives WordPress a massive 62% CMS market share, significantly outpacing its rivals. However, even the most robust WordPress sites can face performance challenges. Slowdowns are often caused by factors such as slow-loading plugins, database connection issues, infrastructure capacity problems, network trouble, large page assets (like images or fonts), and broken links. This is why robust mon…  ( 8 min )

Ideally, you should be using distributed tracing to trace requests through your system, but Kafka decouples producers and consumers, which means there are no direct transactions to trace between them. Kafka also uses asynchronous processes, which have implicit, not explicit, dependencies. That makes it challenging to understand how your microservices are working together. However, it is possible to monitor your Kafka clusters with distributed tracing and OpenTelemetry. You can then analyze and visualize your traces in an open-source distributed tracing tool like Jaeger or a full observability platform like New Relic. In this post, I will leverage a simple application to show how you can achieve this. OpenTelemetry typically comes in two flavors: When I talk about these flavors, I typicall…  ( 10 min )

Developers constantly ask questions like: “What tech is trending right now?” “Why do some GitHub repos go viral?” “How do I find project ideas devs actually want?” “Which months are best for launching tools?” The truth? use real data from HackerNews + GitHub and answer these questions with actual evidence. In this tutorial, I’ll walk you through a practical, real-world workflow to analyze: ✅ What kinds of repos go viral And yes — all of this becomes 10x easier if you’re using my cleaned dataset of 17,900+ HackerNews→GitHub repo submissions, split by month. If you want to follow along with the same dataset I use in this tutorial, grab it here: Grab it here 1. Why HackerNews → GitHub Data Is So Useful Most “tech trend” predictions are based on vibes. They come directly from developers They…  ( 16 min )

As a best-selling author, I invite you to explore my books on Amazon. Don't forget to follow me on Medium and show your support. Thank you! Your support means the world! When I first started building web applications, I quickly realized that the way APIs are designed can make or break scalability. APIs act as the bridge between different parts of a system, and if they're not built to handle growth, everything can slow down or even break. Over time, I've learned that certain design patterns help create APIs that scale smoothly with user demand and feature additions. In this article, I'll share seven key patterns that have worked well for me, with plenty of code examples to illustrate each one. My goal is to explain these in a straightforward way, so even if you're new to this, you can foll…  ( 12 min )

Hello, I'm Maneshwar. I'm working on FreeDevTools online currently building **one place for all dev tools, cheat codes, and TLDRs* — a free, open-source hub where developers can quickly find and use tools without any hassle of searching all over the internet.* SQLite is fast, but your Node app isn’t You put data into SQLite, point your Node app at it, throw more traffic at the service… and CPU usage climbs while latency stays flat or gets worse. SQLite itself can be very fast, but a single Node process with a single connection usually leaves a lot of performance on the table—especially on multi-core machines. This post walks through a concrete setup that: Uses multiple processes and worker threads. Opens one better-sqlite3 connection per worker. Tunes SQLite pragmas specifically for heavy …  ( 12 min )

Each programming language has it's own way of dealing with errors. Popular languages such as JavaScript, Java, C#, and Python choose to use Exceptions to indicate something went wrong at runtime. Other languages, such as Go and Rust, choose to handle errors as values instead, using another paradigm that at first can be odd when you come from the other side of the force. In this article, I'll cover up the type of errors we have in Go and how to master handling them. If you are reading this article, probably you've seen the famous err != nil expression that's often seen while coding in Go (in contrast we have try-catches, that can be messy too). I'll try to convince you that treating errors as values is a good choice after all and we can do better than just always returning them. In Go, we…  ( 9 min )

Microsoft Ignite 2025, the focus was clear: artificial intelligence isn’t just a future promise, it’s rapidly becoming the fabric of everyday business operations. This year's announcements highlighted five major themes, each signaling a shift in scale, scope, and expectations around AI in the enterprise. In this post, we’ll walk through each theme, explain why it matters, and discuss its implications for organizations preparing for the next wave of change. 1. Democratization of AI: Lower Licensing Barriers The forthcoming “Copilot Chat for Everyone” in Microsoft 365 means that by early 2026, even users without a dedicated Copilot license will have access to AI features in Outlook, Word, Excel, and PowerPoint. They also introduced a new SMB-focused plan (Microsoft 365 Copilot Business) f…  ( 8 min )

Hey there! Today I want to share a common problem I’ve faced many times in PHP projects: a method full of if/else if statements that handles different types of orders. You know the type—huge, unreadable, and almost impossible to extend without breaking something. 😅 In this article, I’ll show you how to refactor such if-else hell into something much cleaner using the Strategy Pattern. By the end, you’ll see how flexible, testable, and maintainable your code can become. Let’s imagine we have a simple OrderProcessor class: class OrderProcessor { public function process(Order $order) { if ($order->type === 'digital') { echo "Processing digital order\n"; // some digital-specific logic } elseif ($order->type === 'physical') { echo "Process…  ( 8 min )

A post by Vitor Diego Galecki  ( 6 min )

Every warehouse supervisor faces the same challenge: stacks of orders to pick, limited staff, and the constant question—what ships today? This is where the Order Fulfillment Worksheet app for Microsoft Dynamics 365 Business Central helps streamline operations. Below are real-world questions users ask when looking to speed up fulfillment using Business Central. The Order Fulfillment Worksheet gives supervisors a single, accurate view of every sales and transfer order. Instead of bouncing between screens, they see availability, allocation, and backorders all in one place. Orders are color-coded by availability—highlighting those that are not available, partially available, or ready to fulfill. When availability is refreshed, the worksheet recalculates in real time, instantly identifying whic…  ( 7 min )

There is a piece of advice that Experts or Senior programmers give to Juniors, which Juniors dutifully repeat to each other until it becomes a dogma: "Don't reinvent the wheel." On the surface, it makes sense. Why build a database when Postgres exists? Why write a message queue when you have NATS or Kafka? It seems efficient. It seems smart. But if you blindly follow this advice, it will cap your career. You will remain a "User" of software, never an "Engineer". You will be an expert at gluing together APIs you don't understand, terrified of the day the abstraction leaks and you have to debug a connection error that StackOverflow can’t solve. Here is the uncomfortable truth: To become a 10x Engineer, you must reinvent the wheel. Not to use it in production, but to understand how it works. …  ( 7 min )

A post by Bert De Swaef  ( 6 min )

As AI evolves from “a tool that generates answers” into autonomous agents capable of reasoning, acting, and making decisions, the most important requirement is no longer model performance. The Canonical Funnel Economy (CFE) is designed as the Trust Layer for Agentic AI — a foundational framework that ensures AI systems have stable identity, persistent memory, and verifiable semantics. The image you provided presents six core pillars that enable this transition. One of the biggest global challenges in AI today is semantic drift — the phenomenon where the model interprets the same word or concept differently across time or context. Terms like: “new customer” “onboarding pipeline” “protocol” “priority case” often carry different meanings between sessions or between agents. CFE solves this by …  ( 9 min )

Every year, companies face an exponential increase in data volume. Solutions that work perfectly for smaller tables often start to fail when the dataset reaches massive scales. That’s why we say: When tables reach this level, database administrators must completely rethink their storage and indexing strategies. And that’s where partitioning becomes a powerful and essential technique. Before diving into technical details, let’s go through a bit of history. Before PostgreSQL 10 — Inherited Tables Partitioning was implemented using table inheritance (INHERITS): A physical parent table was created. Multiple child tables represented each partition. Inserts were routed using triggers or rules, which redirected rows to the correct partition. Disadvantages: There was no automatic exclusion of …  ( 9 min )

Ever opened a codebase where a single JSON payload could arrive in 17 different shapes depending on the phase of the moon? Over the last few years my contracts have involved working with legacy code in one way or another. Outdated software, missing documentation, inconsistent data structures and the occasional big ball of mud. I originally planned to write a single article summarising the tools, patterns and techniques I've found useful. The more I thought about it - the bigger the article got, the more it started to resemble some of the tangled software I've worked on. Rather than create one sprawling guide, I'm breaking this into smaller, practical articles. Which as it happens, is also a good approach to software. The current (and probably growing) list includes: Rector Domain-Driven De…  ( 18 min )

Hello everyone, I’m very interested in building a discussion around scalable infrastructure for edge computing combined with cloud servers. Lately, I’ve been sketching an architecture to support distributed compute workloads: data-intensive tasks running on edge servers, with backup and heavy compute offloaded to centralized cloud servers. The idea is to have a hybrid setup: low-latency edge processing, connected via fibre-channel switches and SAN storage, while AI-server workloads (e.g., on AMD EPYC or GPU-enabled rackmount systems) run in a centralized cloud / data center. I’d love to hear your thoughts on: Best practices for designing edge-to-cloud networks (especially using storage area networks and fibre channel) Real-world use-cases where this architecture is in production Recommendations for open-source tools or hardware to prototype such a system Looking forward to learning from your experience. Thanks!  ( 6 min )

Most people think SEO is all about keywords and content. Here are a few things I look at during a technical SEO checkup: 🚀 *1. Page Speed* 🔍 2. Crawlability 🧱 4. Indexing Issues 🔗 5. HTTPS & Security 🧩 6. Core Web Vitals 📌 Bottom line: Technical SEO isn’t about fancy tools — it’s about giving search engines a smooth, error-free path to understand your website. Fix the foundation, and your rankings grow naturally.  ( 6 min )

Most developers write: const [ref] = useState({ current: initialValue }); ...but don't realize this silently creates performance overhead --- When you do: useState({ current: initialValue }); JavaScript still recreates that object on every single render, even This causes: unnecessary object allocations\ extra CPU work during render\ increased garbage-collection pressure\ wasted memory churn\ unnecessary strain in fast or frequently updating UI sections Your code: useState({ current: initialValue }); Render 1: - JS creates { current: initialValue } - React uses it Render 2: - JS creates { current: initialValue } again - React Render 3: - JS creates { current: initialValue } again - React ... Render 30: - JS creates { current: initialValue } again - React const [ref] = useState(() => ({ current: initialValue })); React calls the initializer only once No repeated object creation No extra GC churn No hidden allocations in later renders Matches useRef() behavior Reduced render cost\ Lower GC pressure\ Optimized initialization\ Less memory churn\ More predictable rerenders Yogesh Bamanier\ LinkedIn: https://www.linkedin.com/in/yogesh-007  ( 6 min )

Session Service: як правильно будувати сесію у high-load казино Управління сесіями в онлайн-казино — це не просто "зберігати токен у Redis". При навантаженні в десятки тисяч одночасних гравців кожна архітектурна помилка може призвести до втрати коштів, витоку даних або відмови сервісу. Розглянемо перевірені рішення. Безпека — неможливість підробки або викрадення сесії Масштабованість — мільйони активних сесій одночасно Продуктивність — перевірка сесії < 10ms Multi-device — один користувач на кількох пристроях Швидка інвалідація — logout/ban миттєво діють Audit trail — історія всіх сесій для compliance Concurrent users: 50,000 Sessions per second: 500-1,000 new sessions Session checks per second: 100,000-500,000 Average session duration: 45 minutes Peak load multiplier: 3x (вечір п'ятниці…  ( 13 min )

Instagram: the app you open to send one message… and suddenly 30 minutes are gone. We all know the cycle — and we finally had enough. What if Instagram had a quick fix? A productivity-friendly mode that keeps your connections, but gives your attention span a fighting chance? Instead of quitting social media (yeah right) or pretending we’ll use it “mindfully,” we built something different: A distraction-free way to chat with friends and view stories — right from your terminal. No algorithm traps. No reel vortex. No dopamine casino. Just conversations and updates, on your terms. Instagram CLI is a minimal, fast, keyboard-native way to stay connected without getting cooked by social media. Chat without distractions — no feed, no reels, no algorithm. Stay connected with stories and selected feeds — only when you choose. Use your keyboard for everything — built for developers, not casual scrollers. Run it anywhere — VSCode, your terminal, or even a Linux server. Enjoy TUI life — clean, simple, fast. Lightning-fast, real-time chat with dev-friendly shortcuts. View stories only from accounts you follow -- no ads, btw. (This feature is experimental) Full feature description on our repo docs. It’s fully open source, written primarily in TypeScript (with a Python version too). We recommend TS version since it significantly reduces the risk of your account getting flagged by Meta's anti-bot mechanisms. # Choose your camp... npm install -g @i7m/instagram-cli pip install instagram-cli We use Ink + React for the TS version and Curses for Python. This project is not affiliated with, authorized, or endorsed by Instagram or Meta. Using it may violate their Terms of Service - use responsibly. If you like this project, consider ⭐ starring the repo and contributing! https://github.com/supreme-gg-gg/instagram-cli  ( 7 min )

Unlocking AI-Driven Content Optimization: The 'Engagement Lift Index' When evaluating the success of AI-powered content on Netflix, a crucial metric to consider is the 'Engagement Lift Index' (ELI). This metric measures the increase in user engagement attributed to AI-driven content optimization. Essentially, it quantifies how AI-driven content curation impacts viewers' interaction with Netflix's vast library. To illustrate the concept, let's examine a hypothetical AI-driven content optimization experiment on Netflix's 'Drama' category. Before AI-driven curation, the 'Drama' category received an average of 3.5 minutes of watch time per user. After introducing AI-driven content optimization, Netflix observed a 25% increase in watch time, averaging 4.37 minutes per user. However, using the ELI, we can isolate the AI-driven impact: a 50% increase in user engagement within the 'Drama' category, specifically due to AI-driven content suggestions. This translates to 1.92 additional minutes of watch time per user, directly attributed to AI-driven curation. The ELI provides a more nuanced understanding of AI's role in optimizing user experience and increasing engagement on streaming platforms like Netflix. By incorporating ELI into AI-driven decision-making, content creators and recommendations engineers can refine their strategies to deliver more personalized and engaging content. Publicado automáticamente  ( 6 min )

Developers sometimes move between different operating systems as they switch devices or environments. Many workflows start on macOS or Windows, but teams also use Linux installation setups for server work, container testing, or long-running tasks. This mix creates a simple problem: not every HTML editor behaves the same across platforms. Some tools offer stable Windows builds but weak Linux support. Others run on Linux but require workarounds during installation or setup. HTML editors (including WYSIWYG tools) play a key role in frontend work. For instance, they allow end users to create web content visually while also allowing developers to write code. If an editor fails on Linux (e.g., formatting, encoding, or rendering issues), developers lose consistency across environments. This artic…  ( 12 min )

Did you know that synthetic data can be used to anonymize sensitive information more effectively than traditional anonymization methods, while preserving its quality and relevance for machine learning model development? By leveraging techniques like Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs), synthetic data can mimic the distribution and relationships of the original data, making it virtually indistinguishable. This approach has significant implications for industries like healthcare and finance, where data anonymization is crucial for compliance and data protection. Publicado automáticamente  ( 6 min )

‘Two for the Money’ With Bill Simmons, Chris Ryan, and Cousin Sal Bill Simmons, Chris Ryan and Cousin Sal dive into the 2005 sports-betting drama Two for the Money (starring Matthew McConaughey, Al Pacino and Rene Russo), firing up their favorite Monday night parlay to break down all the highs, lows and oddball antics of the film’s gambling world. After unpacking the movie’s sports-betting mechanics, they each name their most rewatchable scene and—around the 48-minute mark—get into a rapid-fire round of fun categories and rankings only The Rewatchables can deliver. Watch on YouTube  ( 6 min )

Everything Wrong With The Wiz In 15 Minutes Or Less CinemaSins is back on the yellow brick road, whipping up a snappy 15-minute rundown of every nitpick and plot hiccup in The Wiz—just in time with Wicked storming back into theaters. Expect their trademark wit as they dissect what makes this classic feel more fun (or flawed) than you remember. Along the way they drop links to polls, a Patreon shout-out, and all their social handles for fans who can’t get enough Cinematic Sinning. Plus, a quick roll call of their writers so you know who to blame… er, thank! Watch on YouTube  ( 6 min )

Everything Wrong With Mission: Impossible – The Final Reckoning In 27 Minutes Or Less CinemaSins takes aim at the latest Mission: Impossible, counting up every plot hole, shaky stunt and Tom Cruise’s perpetual flirtation with on-screen death. They admit they still love the series but feel these recent chapters have strayed a bit from the franchise’s glory days. They also plug their website and social channels—TVSins, CommercialSins, CinemaSins Podcast—plus shout out their writers (Jeremy, Chris, Aaron, Jonathan, Deneé, Ian, Daniel). Want more? Hit up their sinful poll, Patreon, Discord, Reddit, Instagram, TikTok and even Jeremy’s book. Watch on YouTube  ( 6 min )

ChatGPT Atlas has taken another important step forward with its latest update. The introduction of native DevTools, more control over search behaviour and smarter browser memory support turns Atlas into a productivity environment instead of a simple browser with an AI layer. This update is compact but strategic. It strengthens the position of Atlas as a workspace for development, automation and analysis. The update brings dockable DevTools inside the Atlas window. This removes the split between debugging and prompting, and creates a smoother engineering workflow. Developers can inspect network calls, console output, UI layouts or script behaviour without switching to a separate window. Atlas becomes a unified environment for building and analysing. Errors, stack traces and logs can be cop…  ( 10 min )

On one side, you’ve got the enterprise-grade developer depression kit: Next.js apps, AWS pipelines, API layers, auth flows, rate-limiting, deployments, and a dozen microservices no small business asked for. On the other side, you’ve got “we just need a landing page” landing pages — the tiny brochure sites that somehow still manage to generate 40 rounds of feedback and three different opinions on button size. Developers don’t want to touch these small sites because they turn into endless tweaks. Small businesses can’t justify paying thousands for something that should take minutes, not months. And freelancers get stuck between scope creep and clients who think a $200 budget includes a full rebrand and psychic guidance. So I built swiftlysite.com to bridge the gap. It lets anyone generate a production-ready website just by writing a short description. No freelancers drowning in revisions. No devs resizing logos at midnight. No small business owners comparing twenty nearly identical proposals. Just text in, website out.  ( 7 min )

As part of my DevOps learning journey, I was given an assignment to deploy a personal portfolio website on Killercoda using Nginx. This hands-on project taught me how to host a static website on a remote Linux environment, configure a web server, and use Git for deployment — all essential DevOps skills. In this article, I’ll walk you through every step I took. I started by downloading a portfolio template from StartBootstrap. After downloading, I extracted the ZIP file and opened the project folder in Visual Studio Code. In VS Code, I customized the template with: My name My bio Updated projects and contacts Adjusted colors and layout Once the edits were done, I initialized a Git repository and pushed the project online: git init I visited: 👉 https://killercoda.com/playgrounds/sc…  ( 7 min )

Identificadores são fundamentais em uma API RESTful. A escolha entre IDs numéricos e UUIDs impacta segurança, escalabilidade, privacidade e integração entre sistemas. Exemplos comuns: GET /users/10 GET /orders/99 GET /products/42 Um identificador ideal deve ser: único imutável estável consistente IDs como 1, 2, 3 são simples e eficientes, porém: ❌ expõem o tamanho da base enumeration attack) Servem bem para sistemas internos, pequenos ou isolados. não são ideais. Um UUID v4 típico: 550e8400-e29b-41d4-a716-446655440000 Vantagens: difíceis de adivinhar não expõem contagem ou ordem bons para microsserviços excelente unicidade sem coordenação ideais para APIs públicas ou expostas a terceiros não substitui a Primary Key Mesmo usando UUID em APIs, sua tabela deve continuar tendo: uma chave p…  ( 7 min )

Designing Trust: UX Principles in Fintech Apps (Week 5 of Pocket Portfolio — 12 Weeks of Shipping) Fintech apps don’t just handle data — they handle belief. If users don’t trust the interface, they won’t trust the numbers behind it. That’s why trust design is more than visual polish — it’s behavioral UX backed by consistency, clarity, and feedback. Pocket Portfolio’s interface was rebuilt with this question in mind: “How can we make accuracy look and feel obvious — even before a user checks the math?” In finance, reliability is perceived before it’s proven. A delay in loading or a flicker in a number instantly reduces confidence. So our UI needed to communicate stability — through predictable patterns and visual rhythm. Consistency — one typography system and token set shared acros…  ( 8 min )

You've spent three hours building a GA4 dashboard. It has 17 metrics, color-coded charts, and a beautiful layout. Your boss looked at it once, said "interesting," and never opened it again. Sound familiar? Here's the thing: GA4 gives you access to roughly 47 million data points (okay, slight exaggeration, but have you seen that interface?). The problem isn't getting data—it's figuring out which 5-7 metrics actually matter for your business. Everything else is just noise that makes you feel productive while accomplishing nothing. I've built dozens of GA4 dashboards over the past two years. Most of them were terrible. A few actually changed how companies made decisions. The difference wasn't technical complexity—it was ruthless focus on what drives action. Let's start with the uncomfortable …  ( 13 min )

*look at it first: * https://armaansucks.vercel.app So yeah, I made my resume site. I wanted a site that actually feels like me. The whole thing is basically me experimenting and stacking whatever ideas looked cool until it stopped looking ugly. That’s literally the entire process. Why I even bothered Nothing philosophical. Also, resumes look boring as hell. That’s it. How I built it I didn’t “design” anything. I don’t even know what people do with Figma or whatever tool they worship. I just opened the editor and kept tweaking until it started matching the vibe in my head. My rules were simple: • dark, sharp, readable It’s mostly React + Three.js + some shaders here and there. Basic stuff, nothing insane. Stuff that annoyed me while building • I kept changing tiny spacing values like an idiot Building this wasn’t hard. It was just tedious. Why I like the final result It feels like a proper “Armaan” site. No nonsense. Closing That’s pretty much it. I built a resume site because I wanted one that doesn’t suck. If it looks cool, good. If it doesn’t, whatever. I’ll keep improving it anyway.  ( 7 min )

Data Science continues to grow, and having the right tools is the key to success. 👉 Read full article on my blog: https://kazimdigiworld.blogspot.com  ( 6 min )

Hi! In this article, I’m going to walk you through how I integrated a blockchain-based donation system into my Expo project. I’ll explain everything step-by-step in a beginner-friendly way — why we need a global Web3 provider, how WalletConnect’s projectId and RPC URLs are created and used, and how the donation flow works in the app. I’ll also show minimal code snippets from my actual project files so you can easily follow along and implement the same setup in your own app. Add a global Web3 provider so all screens can access wallet state (account, signer, network). Use WalletConnect (mobile) via a projectId and RPC endpoints (Alchemy/Infura or public RPC) to talk to an Ethereum testnet/mainnet. On the donation screen user: Connect wallet → select fund → enter ETH → Send transaction → wait…  ( 8 min )

Great! You’ve found a bug! And, wow, is it wreaking havoc! You did your homework. It’s reproducible, you know which environment it’s in, and it’s not been reported because you did your due diligence by searching through the ticketing system (insert Jira, Shortcut, Clickup, etc. here). This means you get the gold bug award. Finding the bug is only the beginning. Here’s how to create a great bug report. What Qualifies as a Great Report? Information. The more details you provide, the faster the engineering team can find and fix the issue. Let’s start with the essentials. Browser Information: What browser are you using? Does the issue exist in other browsers? Environment: Was the issue discovered in production? Does the issue exist in the Staging or QA environments? Sometimes the fix is on…  ( 7 min )

Buy Me a Coffee☕ *Memo: My post explains type hints (1). My post explains type hints (2). Multiple variables cannot be defined with type hints at once so they need to be type-hinted first as shown below: v1: str v2: str v1 = v2 = 'Hello' print(v1) # Hello print(v2) # Hello v1: str = v2: str = 'Hello' # SyntaxError: invalid syntax Assignment statement unpacking cannot be done with type hints at once so variables need to be type-hinted first as shown below: v: str v, = 'Hello', print(v) # Hello v1: str v2: int v1, v2 = 'Hello', 23 print(v1) # Hello print(v2) # 23 v: str, = 'Hello', v1: str, v2: int = 'Hello', 23 # SyntaxError: invalid syntax for statement unpacking cannot be done with type hints at once so variables need to be type-hinted first as shown below: v: str for v, in [[…  ( 8 min )

Today marks Day 2 of my #30daysofAWSTerraform challenge started by Piyush Sachdeva. Today we will deep dive into the terraform providers. What are terraform providers and how exactly they will work. Provider is simply a plugin that translates our terraform code into a code that your cloud provider can understand. As Cloud Provider doesn't understand HCL language of Terraform, this provider acts as a bridge between our Terraform code and Cloud. In simple, Providers are plugins that allow Terraform to interact with cloud platforms, SaaS providers, and other APIs. For AWS, we use the hashicorp/aws provider. terraform providers for AWS In the above official link, you can view all the services AWS Cloud will provide for the Terraform integration. terraform { required_providers { aws = { …  ( 7 min )

With the release of React 19.2, let's explore in brief how you can leverage the latest React features in your applications. Just a heads up, this blog post is more theory heavy. In case you want to see some working examples, I've linked a video in the references as well as the official documentation so that you can experiment with these features on your own time as well. This is the one that's most exciting and anticipated by people in my opinion. React compiler is a build tool that automatically optimizes your app. Before: review component logic and separate out states or apply memoization manually After: configure in your bundler and see the magic There are some caveats here however. Your app needs to follow Rules of React or the compiler will err on the safe side and choose to not apply…  ( 8 min )

I'm excited to announce the release of Qeltrix V2, a major enhancement to the content-derived encryption container format that brings significant performance improvements and new capabilities while maintaining full backward compatibility with V1 files. Qeltrix is a Proof-of-Concept command-line utility that creates encrypted, compressed data containers with a unique approach: the encryption key is derived directly from the file content itself. This eliminates the need to store or transfer separate encryption keys, making it ideal for secure archival and data obfuscation scenarios. Built on modern cryptography (ChaCha20-Poly1305), parallel processing, and a streaming architecture, Qeltrix handles files of any size efficiently. Version 2 introduces several significant features that improve p…  ( 9 min )

Are You Struggling With Amazon Bedrock’s Ultra-Low Quotas on New AWS Accounts? 🤯 Are you hitting painfully low rate limits when running LLMs on Amazon Bedrock from a newly created AWS account? You’re definitely not alone — many developers are discovering that new accounts often start with extremely restrictive quotas, sometimes as low as 2 requests per minute. Official guidance usually suggests contacting an account manager to escalate your limits, but for startups, hobby projects, or personal experimentation, that path is far from simple. Since 2024 or maybe 2025, AWS quietly adjusted Bedrock’s default model access for newly created accounts - together with other lower account defaults such as a maximum concurreny of 10 for AWS Lambda. Even when using global endpoints, many fresh accou…  ( 8 min )

Hello, everyone! We continue our wonderful series of articles on prompting 🤖✨ Today, we will explore four effective feedback prompting techniques that will help you achieve even better results from AI! 🚀 To work with AI as efficiently as possible, experts have developed a range of powerful techniques 🛠️. They were born at the intersection of science, engineering practice, and everyday user experience. ✍️ Explicit Feedback Prompting — open expression of comments and suggestions. 🔄 Iterative Refinement — gradual refinement of responses through multiple iterations. 🧐 Critique and Revision Prompting — the model critiques and improves the results itself. 🧩 RLHF (Reinforcement Learning from Human Feedback) — choosing the best from several options. --- Let's start with a simple yet very e…  ( 9 min )

When I was in college, one of my software engineering class obsessed over UML diagrams. Creating them was painful, especially with the clunky tools available in the late 00s, and it felt like an exercise in frustration more than anything useful. So when I entered the real world and discovered that most teams didn’t make diagrams regularly, I was honestly relieved. But over the years, I realized something: diagrams are incredibly valuable, we just never had tools that made them worth the effort. My last team relied on diagrams for planning, communicating with non-technical stakeholders, and even thinking through refactors. But the visual tools we used were still slow, fiddly, and frustrating. (Looking at you, arrows that refuse to anchor to properly.) Then someone introduced the team to Mer…  ( 8 min )

How I went from ‘barely keeping up’ to shipping production features in hours (no exaggeration) Quick Disclaimer: I’m a paying Claude Code Max subscriber ($200/month). Everything here comes from real production work. Not sponsored — just a CTO who found techniques that genuinely transformed how I ship code. Two months ago, I faced a nightmare project: complete backend API refactor, 50+ files to touch, zero room for cascading failures. Timeline? Three weeks. Team already maxed out.  ( 6 min )

https://vebit.app/ Vebit can create a good website (frontend + simple API integration) from a single well-written prompt. Its USP is generating high-quality and high-quantity websites at a lower cost.  ( 6 min )

I really like Django. I would pick Django over any other option for setting up a website regardless of expected complexity. In my opinion, if you fully embrace Django, it will allow you to focus on the product and not fight an uphill battle against the computer. I do a bit of freelancing on the side, and it saddens me that I rarely see Django projects in the wild. Wherever I join and I'm lucky enough that it's a Python gig, it's usually Flask or FastAPI. When I ask why, it's usually something along the lines of: "Oh, we don't need Django, it's too complex. We just need a simple API". Yet, they need database access, and ORMs are nice so they brought in SQLAlchemy. And they need user authentication, so they roll their own roles and permissions. And they need JWTs because the frontend is a React app with its own stack. And they need caching so they roll their own. And they need request validation and OpenAPI Javascript client generation so they bring in Pydantic. And of course they need horizontal scalability so they deploy everything on Kubernetes. And then: "We don't need Celery, it's too complex." so they add APScheduler. And then it turns out they do need simple workflows and CPU-heavy processing so they roll their own background task manager. And here I am, looking at this amalgamation of bytes created in the name of simplicity, thinking: "What a poor reimplementation of Django."  ( 6 min )

A Step-by-Step Tutorial Using a Real-World Fundraising Platform Show custom model properties in the list view Let’s build it together! # models.py (simplified) class Fundraiser(models.Model): user = models.ForeignKey(User, on_delete=models.CASCADE, null=True) fundraising_category = models.ForeignKey(FundraisingCategory, ...) short_code = models.CharField(max_length=10, unique=True) is_approved = models.BooleanField(default=False) is_private = models.BooleanField(default=False) status = models.CharField(max_length=20, choices=STATUS_CHOICES, default='active') created_at = models.DateTimeField(auto_now_add=True) @property def raised_amount(self): return self.paystack_transactions.filter(status='success').aggregate( total=Sum('amount') …  ( 9 min )

Everything Wrong With The Wiz In 15 Minutes Or Less rides the buzz of Wicked’s theater comeback by zooming down the yellow brick road to nitpick every plot hole and quirk in the 1978 classic. True to CinemaSins form, it serves up a fast-paced, tongue-in-cheek breakdown of what’s better (or worse) than you remember. Along the way they drop links to their main site, socials, a fan poll and Patreon, plus a shout-out to the writers, podcast channels and community hubs where you can catch more of their sin-counting antics. Watch on YouTube  ( 6 min )

Prerequisites – installing Homebrew and asdf on Ubuntu https://nodejs.org/en/docs Express — Minimalist and flexible framework for creating APIs and HTTP servers with Node.js. Fastify — Fast and efficient framework focused on high performance and low resource consumption. NestJS — Modular and structured framework inspired by Angular, ideal for scalable applications in Node.js. sudo apt update sudo apt install nodejs npm For updated versions, NodeSource is recommended: curl -fsSL https://deb.nodesource.com/setup_20.x | sudo -E bash - sudo apt install -y nodejs brew install node Node uses npm (included by default) or pnpm/yarn optionally. Install pnpm (globally): npm install -g pnpm # add plugin asdf plugin add nodejs https://github.com/asdf-vm/asdf-nodejs.git # import keys bash ~/.asdf/…  ( 9 min )

As artificial intelligence continues to redefine how information is created, distributed, and consumed, brands must rethink their approach to digital visibility. The future of online discovery is no longer limited to traditional search engines—AI assistants, generative answer engines, and multimodal platforms are becoming primary entry points for users seeking fast, accurate insights. This shift demands a more holistic, future-ready strategy that emphasizes authority, trustworthiness, and adaptability. (To explore how advanced optimization ties into these trends, see our guide to *LLMO*.) AI-driven tools are rapidly transforming into powerful gateways for information retrieval. Users increasingly rely on conversational platforms, AI-enhanced browsers, and answer engines to summarize, analy…  ( 7 min )

I just built a startup/SaaS/business idea generator ( 🔗 https://idea-rader.com ) using Google’s AI Studio — and then layered more functionality on top of it to turn it into a full product. Over the last few days, I’ve been experimenting with how far Gemini’s Build workflow can take an idea from prototype → working tool. That’s how Idea-Rader was born — a website where you enter your budget, skills, target audience, domain, strengths, investment capacity, and more… and it generates: 🔍 A personalized startup/SaaS/business idea 🛠️ Tech Stack Used: React + Vite Firebase Auth, Firestore & Hosting Razorpay Payments  ( 7 min )

Artificial intelligence is reshaping the way brands plan, execute, and refine their digital marketing strategies. While many businesses focus on optimizing search performance and enhancing their online presence, AI’s influence extends far beyond SEO alone. From predictive analytics to automated campaign optimization, marketing teams now have access to powerful tools that elevate decision-making and streamline workflows. In this article, we’ll explore how AI is transforming modern digital marketing and why brands that embrace these innovations are gaining a significant competitive advantage. (Related reading: Best AI SEO Tools) Data-driven decisions have always been crucial in marketing, but manual analysis often limits accuracy and speed. AI-powered predictive analytics solves this probl…  ( 7 min )

As AI-driven search tools become the default gateway to online information, content teams are facing a new reality: visibility no longer depends solely on how well a page ranks in traditional search engines. Instead, it increasingly hinges on how effectively AI models can interpret, reuse, and attribute your content within synthesized, conversational answers. This shift is redefining what it means to create content that performs—and it requires thinking far beyond keywords. For years, content writing revolved around balancing two audiences: humans and search engine crawlers. Today, there’s a third audience that sits between them—large language models. These models don’t just index content; they digest it, reinterpret it, and often become the first to explain it to the user. That means your…  ( 7 min )

I've been working for some time on a simple, lightweight core admin for PHP. It's a basic administrative environment: login, user & permission management, install and updates. I'm finally ready to talk about it. It's an open-source project I called MilkAdmin. Installation is "the old way", like WordPress: copy it to the server and you're up and running. You get a minimal environment with access to two databases: one for internal configuration (works well with SQLite) and a second one for your application data. I'll keep this short and give a few practical examples. To create a new page (with a menu entry) you just define a module: class CupOfMilk extends AbstractModule Build Calendar Example I make heavy use of PHP attributes to identify actions and methods: #[RequestAction('home')] …  ( 7 min )

There is a new invisible user in your product. They sit beside your human user, read your pages before they do, summarize your content, click your buttons, and sometimes even buy things or cancel subscriptions for them. That “user” is their browser’s AI. Chrome, Edge, Opera Neon, Perplexity’s Comet, Dia, and friends are turning the browser into a copilot that reads, explains, and acts on behalf of humans. Gemini in Chrome can already help people understand complex pages, find past sites, and is being positioned for more “agentic” tasks like booking appointments. Microsoft’s Edge Copilot will happily summarize whatever page or PDF you are looking at and answer questions about it. Opera’s Neon and Perplexity’s Comet go a step further: they execute tasks inside pages and automate multi-step w…  ( 12 min )

kubectl-ai WebUI: A Visual Interface for AI-Powered Kubernetes Troubleshooting If you've been experimenting with kubectl-ai for AI-assisted troubleshooting on Kubernetes, you probably know one thing already: It’s powerful, but strictly CLI-based. This creates a real barrier for developers, students, or platform engineers who are less comfortable with command-line workflows but still want to benefit from AI-driven explanations, log analysis, issue hunting and YAML generation. To solve this, I built something new: A WebUI for kubectl-ai, a browser interface that makes AI-assisted Kubernetes troubleshooting accessible to everyone. This article explains what it does, why it helps, and how you can try it out. In short, kubectl-ai is an AI-powered plugin for kubectl that transforms natural-la…  ( 8 min )

After years of working with different teams, one pattern became impossible to ignore: the teams that consistently delivered weren't the ones rushing or pushing harder. The best teams don't move faster, they move smarter. In every project I've seen, chaos doesn't come from bad intentions or weak skills. It comes from a lack of organization. A few years ago, I joined a team that, at first glance, had everything going for them. There was an almost one-year backlog of client customization requests, a full year of work waiting in line: It wasn't because the team was slow or inefficient. It wasn't because the requests were too complex. And, it definitely wasn't because the developers lacked skill. The real issue was simpler, but more damaging: they had no structure to support their effort. Code …  ( 8 min )

It's been awhile coming but we finally got set up with gig internet. Speeds have been ok before but we needed better speed for streaming, gaming, and our number of devices. Tech called shortly before the Dads in Tech meet up. unfortunate the meeting was in middle of the tech's arrival window. I was hoping to join but knew I couldn't cause he would need attention. Hoped it would be a quick install and I could catch the end of the meeting. It was not quick. The tech comes to the door and asks, "Did they ship you modem?" "No." "They were suppose to ship you a modem, an enterprise one." I knew that was wrong. He said "I'll go out to truck call manger then call you in 5 to 10 minutes." While he was in truck I checked the appointment email and texts "Tech will bring modem." So I open a chat …  ( 11 min )

If you’ve ever worked with Zebra handhelds, scanners, or rugged Android devices, you already know: they are built for frontline operations, but not always built for easy management. Zebra devices aren’t typical Android phones. Barcode scanning Printer integrations Push-to-talk Battery analytics Hardware keys Advanced security and lockdown modes And this also means: Firmware updates ≠ normal Android OTA App deployment often requires special profiles Device provisioning involves specific Zebra tools Settings aren’t always accessible via native Android APIs When you’re managing 50, 500 or 5,000 devices, doing all this manually isn’t an option. OEMConfig (Zebra-specific configuration over standard Android Enterprise) OEMConfig is one of the biggest unlocks for Android device management. It all…  ( 9 min )

This post has been originally published on my Substack publication VSL Yesterday I opened my server logs and saw my API costs had spiked for no obvious reason. I was building a new feature and thought I'd be clever. I told the AI: "Just reuse the logic from the other generator." The AI said "Sure!" The UI worked perfectly when I tested it. But I never looked at what was happening underneath. The AI had built something that made three separate calls to my server every time a user clicked one button. The feature worked on my screen, but it was costing me money with every click and making users wait longer than they should. AI Will Make Anything Work Even if It's Wasteful One of the first things you’ll learn building with AI tools is that they'll make anything work on the surface, even if i…  ( 12 min )

From AI/ML Background... In this article, I’m trying to jot down my journey, moving from being an AI engineer, living deep in models, data, and drift, to stepping into the world of observability. I’m not going too deep into the transition itself, but more into what I’ve learned about observability: its purpose, where it fits, how to use it, and the stack that actually makes sense in real-world engineering. If you come from AI or ML, you probably think you get monitoring. We keep an eye on pipelines, stare at dashboards, track every metric we can get our hands on. We’re obsessed with recall, precision, AUC, all those numbers that tell us if the model’s still alive. In MLOps, it’s all about performance. Is the model still making sense in the real world? Should we retrain? When do we push t…  ( 10 min )

In 2003—five years before Bitcoin even existed—a Turkish computer science professor published a paper about a digital currency called Karma. It had a distributed mint, peer-to-peer transactions, and solved the free-loader problem. Then in 2013, that same professor published another paper proving that Bitcoin could be attacked by miners controlling just 33% of the network—not the 51% everyone thought was necessary. And then in 2020, he launched Avalanche—a blockchain that raised $42 million in under 5 hours, now processes 6,500 transactions per second (beating Visa), and is valued at nearly $6 billion. That professor? Emin Gün Sirer. And his journey from growing up in Turkey to building one of the fastest blockchains in the world is one of the most fascinating stories in all of crypto. Let …  ( 15 min )

A post by Dabwitso Mweemba  ( 6 min )

Taking on a new challenge: solving GeeksforGeeks POTD daily and sharing my solutions! 💻🔥 Problem: https://www.geeksforgeeks.org/problems/game-of-xor1541/1 Game of XOR Difficulty: Medium Accuracy: 50.77% You are given an integer array arr[]. The value of a subarray is defined as the bitwise XOR of all elements in that subarray. Examples: Solution: class Solution: def subarrayXor(self, arr): n = len(arr) ans = 0 for i in range(n): if ((i + 1) * (n - i)) % 2 == 1: ans ^= arr[i] return ans  ( 6 min )

If you’ve ever built anything for the web either frontend, backend, APIs, mobile apps or even blockchain dApps, you’ve already interacted with HTTP. It’s the invisible glue that allows devices to talk to each other over the internet. This is my first article in a while and I’m excited to get back to writing again. Work and projects kept me away for a bit but I’m restarting with one of the most fundamental topics in backend development In this article, we’ll break down what HTTP really is, how it works, why it’s stateless and how its versions evolved from HTTP/0.9 all the way to HTTP/3. HTTP (HyperText Transfer Protocol) is a communication protocol used for transferring data between a client (usually the browser) and a server. Every time you open a website, submit a form, fetch API data or …  ( 8 min )

We built the first native mobile AI agent and open-sourced it🤯 Priya Negi ・ Nov 18 #ai #programming #cloud #python  ( 6 min )

Gemini 3 Pro just dropped, and it is already getting a lot of attention for its reasoning and long context abilities. But now, the natural question is, "How well does it code?" And does it actually outperform GPT 5.1 Codex, which, in my tests, has been the best so far (better than Claude 4.5 Sonnet) on real tasks? To find out, I put it side by side with GPT 5.1 and tested both models on two fundamental tasks: a UI build and a complete agent workflow. We will go through the results in a moment, but first, let's have a quick TL;DR and a refresher on Gemini 3. If you want a quick take, here is how both models performed in the test: Gemini 3 Pro handled both the UI task and the agent build more cleanly, requiring very few follow-ups. The most significant difference showed up in the agent test…  ( 17 min )

🚀 Introducing CCC: Code Commenting Convention for VS Code Hey developers! 👋 CCC (Code Commenting Convention), a lightweight VS Code extension that helps you write clear, consistent, and meaningful comments across all programming languages. If you've ever struggled with messy comments like: // fix this # maybe change? CCC is here to standardize them. Every tag has a clear meaning, making your code more readable and easier to maintain. ✨ Features Smart Autocomplete: Triggered automatically after comment characters (//, #, /*, etc.) Hover Descriptions: Hover over tags like TODO, FIXME, SECURITY to see their meaning Universal Language Support: Works in JavaScript, Python, HTML, SQL, Bash, and more Zero Configuration: Install and start using immediately Install Here  ( 6 min )

Everything Wrong With KPop Demon Hunters in 16 Minutes or Less is a tongue-in-cheek CinemaSins video tearing into the new K-Pop Demon Hunters flick—packed with their trademark “sins” commentary, a link to the full site, and a cheeky invitation to fill out a poll or support them on Patreon. They also shout out their writing team (Jeremy, Chris, Aaron, Jonathan, Deneé, Ian and Daniel) with social links, plus community hangouts on Discord and Reddit, and additional follow-along channels like TVSins, CommercialSins, Instagram and TikTok. Watch on YouTube  ( 6 min )

The Secure Factory — Deploying and Operating with Amazon Bedrock AgentCore 3.1 Introduction: The "Prototype vs. Production" Problem In Part 1, we built a secure frontend (React + Cognito + API Gateway). In Part 2, we designed the agent's logic—its "blueprint"—using the Strands SDK. We now have a "prototype" that likely runs on a developer's laptop with a python main.py command. Why can't we just put this Python code on a server (like an Amazon EC2 instance), point our API Gateway at it, and call it "done"? This is the "Prototype vs. Production" gap. As the airline agent example states, "Building a chatbot is easy. Building a production-grade AI agent that can perform real-world tasks securely and at scale is incredibly hard". To go to production, we must first solve a "mountain of engine…  ( 10 min )

Enterprise applications require rigorous data integrity and security, but manually implementing these cross-cutting concerns is error-prone. This post, the (almost) final in our series on building an automated Data Access Layer (DAL), focuses on implementing the most challenging requirement: Row-Level Security (RLS). We build upon our existing system of composable global query filters, extending it to enforce entity-based RLS automatically. This means a developer writes a simple query, and the DAL guarantees that only records accessible to the current user are returned, even for complex joins. IProtected To enable this, we update our IDbCtx to carry the authenticated user's Ulid? UserId. A key security choice is to adopt a "fail-closed" stance: if UserId is null, the query will be filter…  ( 8 min )

This short guide describes a minimal, robust integration pattern for sending Campaign Monitor Smart (transactional) emails from a .NET application. It documents practical pitfalls and how the example CampaignMonitorService addresses them. Note: all examples below use placeholders (no real API keys, email addresses, or list IDs). Campaign Monitor uses Basic Auth for all API calls. Use the API key as the username and any non-empty string (for example x) as the password. There is no separate transactional API key; the same key used for classic APIs also works for transactional Smart Email endpoints. Example header (curl style): # placeholder values API_KEY= SMART_ID= curl -u "$API_KEY:x" \ -H "Content-Type: application/json" \ -d '{"To":["<recipient_pla…  ( 8 min )

Most of us learn JavaScript objects like this: const user = { name: "John", age: 30 }; It looks simple. A key, a value. Done. But what if I told you that every property in an object has hidden settings? What if you wanted to create a property that cannot be deleted? Or a property that is invisible to loops? Or a value that is read-only, like Math.PI? Welcome to the world of Property Flags and Descriptors. This is how you take off the training wheels and gain full control over your objects. Imagine a file on your computer. It has content, but it also has attributes: Read-only, Hidden, or System file. JavaScript object properties work the same way. Besides the value, every property has three special "flags" (attributes) that are usually set to true by default: writable: If true, the va…  ( 8 min )

When users struggle with your product, it's easy to assume the problem is with them. Maybe they’re “not tech-savvy” or just didn’t “get it.” But more often than not, the issue isn’t the user, it’s the cognitive effort your product is demanding. In UX terms, this is called cognitive load, and it’s one of the most overlooked reasons why users drop off, get frustrated, or never come back. It’s not loud or obvious, but when it’s high, it quietly sabotages the entire experience. Let’s unpack what it means, how it shows up in real products, and how to design around it. Cognitive load refers to the total amount of mental effort being used in our working memory. Every time someone interacts with a digital product, they’re juggling a few things in their head: What they’re trying to achieve (their g…  ( 10 min )

Web scraping in 2025 sits at an interesting crossroads. Traditional tools are still widely used and capable, but maintaining large scraping pipelines has become more demanding. Layouts change frequently, defensive systems are being improved, and HTML adjustments that break parsers are implemented faster than before. At the same time, AI-driven techniques are maturing. Large language models (LLM) don’t replace the fundamentals of crawling, but they do change how we interpret page content and handle structured extraction. According to a 2025 McKinsey research, companies adopting generative AI jumped from 33% to 71% in a single year. Scraping is one of the areas where this shift was expected. More teams explore web scraping LLM methods and AI data scraping to reduce manual maintenance. GenAI…  ( 10 min )

Introduction Every few months, another major cloud outage makes headlines. AWS us-east-1 goes down, taking half the internet with it. A misconfigured Azure deployment affects thousands of customers. These incidents fuel the multi-cloud narrative: "Don't put all your eggs in one basket." But multi-cloud comes with significant costs—complexity, operational overhead, and often higher expenses. While some organizations genuinely benefit from multi-cloud, many adopt it for the wrong reasons and regret the decision. In this comprehensive guide, we'll explore when multi-cloud makes sense, when it doesn't, and how to implement it successfully if you truly need it. Multi-cloud means using services from multiple cloud providers (AWS, Azure, GCP) for production workloads. It's important to distingu…  ( 14 min )

When building a Python library, the goal is to turn a complex, boilerplate-heavy process (raw API calls) into a simple, elegant one-liner. The FXMacroData API provides real-time macroeconomic indicators for major currency pairs—a goldmine for quant traders and analysts. Raw API calls force developers to repeat code for authentication, error checking, and URL construction. Embracing the DRY (Don't Repeat Yourself) principle, I set out to build a dedicated Python library on top of it, creating a user-friendly wrapper. This article walks you through the core components of that wrapper, covering synchronous and asynchronous clients, proper exception handling, and utility functions. A good library starts with an intuitive entry point. My goal was to turn an HTTP request into a clean Python meth…  ( 8 min )

Why Every DevOps Engineer Should Deploy Their First Portfolio on Killercoda Most DevOps tutorials begin with AWS, GCP, or Kubernetes. But here’s my honest advice: Start with Killercoda’s Ubuntu playground instead. 🔗 https://killercoda.com/playgrounds/scenario/ubuntu I recently deployed my full DevOps portfolio website using nothing but this environment and Nginx — and it was one of the most valuable hands-on exercises I’ve done. Here is the live server running my site: 🔗 https://411913816ee7-10-244-13-238-80.spch.r.killercoda.com/ When you deploy on Killercoda, you learn the fundamentals that cloud providers hide behind fancy panels: creating and securing directories Configuring Nginx from scratch troubleshooting server errors managing processes manually deploying changes without automation crutches It’s the closest experience to running a real Linux server — without paying for one. If you're a beginner DevOps engineer or trying to build confidence: Forget the cloud for a moment. Deploy something raw. Learn the ground truth. Your terminal will become your greatest teacher.  ( 6 min )

There’s something I wish more employers understood — something I didn’t fully have the words for until I lived through it myself: when a developer says the work requires a full-time position, they’re not exaggerating. They’re telling you what it actually takes to build the thing you’re asking for. I learned that lesson from the inside, as the developer whose role didn’t match the expectations placed on it. Stepping into a system built on shaky ground A while back, I joined a small Norwegian company as their only developer. They handled services related to cemeteries and memorials, and they had a system that had grown organically over the years. The database was… let’s say “creatively structured,” and every architectural decision seemed to lean in a different direction. I wanted to do goo…  ( 8 min )

Recentemente, desenvolvi um template reutilizável para aplicações AWS Lambda em Python, integrando infraestrutura como código via Terraform e automação de CI/CD com GitHub Actions. Neste artigo, compartilho minha experiência, decisões de arquitetura e exemplos práticos para quem deseja acelerar projetos serverless na AWS. A necessidade de padronizar e acelerar entregas de funções Lambda me levou a criar um template que pudesse ser facilmente adaptado para diferentes projetos. O objetivo era garantir segurança, rastreabilidade e facilidade de manutenção, sem depender de nomes de empresas ou clientes. A estrutura que utilizei foi a seguinte: . ├── app/ │ └── handler.py # Código da Lambda ├── infra/ │ └── terraform/ │ ├── main.tf # Infra principal │ ├─…  ( 8 min )

Introdução Recentemente, trabalhei em um projeto que envolvia o processamento de vídeos em escala na nuvem. Precisávamos de uma solução robusta para converter vídeos automaticamente, e o AWS MediaConvert se mostrou perfeito para isso. No entanto, configurar toda a infraestrutura necessária – filas, roles IAM, templates de job e logs – pode ser complexo. Decidi usar Terraform para automatizar tudo, criando uma infraestrutura como código que pudesse ser reutilizada em diferentes ambientes. Neste artigo, vou compartilhar minha experiência implementando essa infraestrutura. Vou explicar passo a passo como provisionar os recursos essenciais do MediaConvert usando Terraform, desde a configuração inicial até o deploy. O foco é em uma abordagem prática, com exemplos de código e dicas para evitar…  ( 9 min )

When people report bugs or performance problems, developers need more than logs and metrics; they need context. That’s where debugging and session replay tools enter the picture. These platforms log users' interactions, console logs and network activity, giving teams a window into what really happened before the error occurred. Some popular tools like LogRocket, Sentry, Datadog and FullStory have already established themselves as essential in modern product teams. They give companies the ability to issue track, and this results in better user experiences and the alignment of engineering with design. But a new player in the space, Multiplayer, is betting on developer-first debugging and visibility, which is based around live collaboration, rich context and without any vendor lock-in. This a…  ( 14 min )

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From Interview Task to Production: Building a Security-First DevSecOps Platform TL;DR The Assignment: Deploy a simple app to local Kubernetes What I Built: A production-grade DevSecOps platform with 6-layer security scanning, FinOps cost tracking, GitOps automation, and complete observability Result: "Opsfolio" - A hands-on demonstration of how I approach real-world infrastructure challenges 🔗 View the complete repository The Challenge The Approach Security Architecture FinOps: Cost Intelligence Automation & GitOps Technical Implementation Results & Metrics Key Takeaways The interview assignment was straightforward: ✅ Set up a local Kubernetes cluster (kind/minikube/k3s) ✅ Create a Dockerfile ✅ Deploy an application ✅ Bonus: IaC, GitOps, semantic versioning Simple enough. Bu…  ( 10 min )

If you've been exploring modern automation tools, you might have noticed that n8n become popular in Oracle Cloud faster than almost any other platform. This isn’t random—it's a logical result of combining a powerful, open-source automation tool with one of the most cost-efficient cloud infrastructures available today. This guide breaks down all the reasons behind this rising trend, explains the technical benefits, and walks you through how businesses and developers are leveraging the n8n-OCI pairing. Understanding n8n and Its Growing Ecosystem n8n is an open-source workflow automation platform that allows users to connect apps, APIs, and backend operations without writing tons of code. Its visual editor makes it extremely simple to build powerful data flows, automate repetitive tasks, or i…  ( 8 min )

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`AI tools today are incredible. But while building real projects with AI, I kept noticing something subtle: It wasn’t a flaw in AI, it was a gap in how we use it. 🧩 The Quiet Problem Developers Face: AI can write code brilliantly. When you’re trying to grow as a developer, you need: And that’s why many developers tell me: “AI helps me code but I still don’t feel confident. Yet guilty or the AI is doing it for me” 🔥 The Question That Led Me to Build PIYE I asked myself: “What if AI could guide me like a mentor, not just assist me like a tool?” Not replacing learning. Something that could: That idea turned into PIYE, an AI mentor built for learning and building together. 🛠️ What PIYE Focuses On PIYE Mentor, Guidance With Clarity: PIYE doesn’t overwhelm you with long answers. More like a calm, patient senior dev. PIYE Studio, Learn the Thinking, Not Just the Code: Studio helps you develop core skills: It’s about building confidence, not shortcuts. I’d Love to Hear From You If you’re a beginner, junior dev, or self-taught: What part of building with AI feels the most unclear? Your feedback genuinely shapes PIYE’s future. 🙏 If You’re Curious Here’s the project: https://www.piye.dev But more importantly, I’d love to hear your experiences in the comments. Thanks for reading ❤️ Building with AI is still new for all of us, your perspective truly matters. `  ( 7 min )

A longform introduction to my learning-in-public path I’m starting something long-term, challenging, and ambitious: building the skills to become a full-stack web developer and AI engineer from the ground up. My background isn’t in computer science—I completed 12th-grade PCB—so this is a complete transition into software development. I’m documenting the entire process publicly to create accountability, measure my progress, and eventually build a transparent, verifiable portfolio of work. My motivations are simple and practical: Accountability: Publishing my progress forces me to stay consistent and disciplined over months, not days. Clarity: Writing publicly helps me understand what I’m learning and why. Transparency: I want a portfolio that doesn’t just show final projects but the proce…  ( 9 min )

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⁠#1 Product of the Day and #1 Developer Tool of the Month: Aikido Security first launched on Product Hunt last month, and they crushed it. Tagline, visual assets, community engagement... Here's a breakdown of what they did right and how to apply it to your launch. Full disclosure: If this was Aikido's first launch on Product Hunt, the team does have previous launch experiences. In fact, they launched Opengrep last February and ranked #5 Product of the Day. Nailed the tagline. The most important part of a launch? These 60 characters are the first thing you read on the front page. "Secure everything you build, host, and run." Simple, relatable, straight-to-the-point. Polished the visual assets. Underrated: The image gallery. It tells your story, visually. It starts with an intro, i.e. the OG image. IMHO It should finish with an end, i.e. your call-to-action. Nailed it. Engaged with the community. They added a first, short comment to get the discussion started. They also upvoted and replied to every comment. How to apply this to your launch Keep the tagline simple and relatable Show the product in your image gallery Engage with the community thoughtfully Over to you! What are your key learnings from your previous launches? What worked, what didn't work from your perspective?  ( 6 min )

Hey folks. I know, I know, another long post. But if you've been following Today's about task scheduling. Specifically, about a problem I've spent way too much time solving in production. You know that feeling when your startup grows from handling hundreds of tasks to millions, and suddenly your "simple cron job solution" is costing you thousands in Redis memory? Yeah, I've been there. Today I want to walk through building a proper task scheduler – the kind that companies like Stripe, Airbnb, and Uber actually use in production. Not the toy examples you see in tutorials, but something you can actually deploy on Friday and sleep well over the weekend. The Problem with Traditional Cron Why Big Tech Uses a Two-Tier Architecture The Architecture We're Building Understanding the Queue Layer Th…  ( 21 min )

Understanding The Terraform Providers Infrastruture as Code(IaC) has changed the way developers and cloud engineers manage and deploy infrastruture. Among all IaC tools, Terraform stands out for its simplicity, flexibility, and multi-cloud capabilities. But behind evrything Terraform does, there is one core component that makes the magic happen: providers. if you're new to Terraform, understading providers is the first major step toward writing reliable and scalable infrastructure code. This blog breaks down what providers are, how they work, why versioning matters, and how to get hands-on with them using AWS as an exmaple. 🚀What are Terraform Providers? A Terraform provider is essentially a plugin that allows Terraform to interact with an external platform such as AWS, Azure, Google Clou…  ( 8 min )

The Foundation: What is a Large Language Model? At its heart, a Large Language Model (LLM) is a type of artificial intelligence designed to understand, generate, and interact with human text. The "large" in its name is no exaggeration. These models are built on neural networks containing billions, or even trillions, of parameters. Think of these parameters as the knobs and dials the model can tune to learn the intricate patterns of language. The real breakthrough that enabled modern LLMs like ChatGPT was the invention of the "Transformer" architecture in 2017. Before the Transformer, AI models struggled with understanding long-range context in text. They might forget the beginning of a long paragraph by the time they reached the end. The Transformer's secret weapon is a mechanism called…  ( 9 min )

To dynamically assign a log file without modifying the settings directly, you need to set up logging outside the immutable settings object. Here's how to fix this: Instead of modifying the LOG_FILE in the immutable settings, directly reconfigure the Python logging module within the spider_opened signal handler. DynamicLogFileExtension import os import datetime import logging from scrapy import signals class DynamicLogFileExtension: @classmethod def from_crawler(cls, crawler): # Instantiate the extension ext = cls() # Connect the spider_opened signal crawler.signals.connect(ext.spider_opened, signal=signals.spider_opened) return ext def spider_opened(self, spider): # Create a logs directory if it doesn't exist log_d…  ( 7 min )

When a Django project starts small, model relationships are easy to understand. ❗ Understanding how models relate becomes harder than reading the source code itself. This is where Entity-Relationship Diagrams (ERDs) become incredibly important. ✔ How models depend on each other Yet many teams never update ERDs after the first version, because manually drawing diagrams in Draw.io / Lucidchart / Figma becomes unmaintainable. 💡 The solution? Generate ER diagrams automatically from Django models — as code or as images — directly from your project. Not only can this live documentation be added to the repo, it can also be generated automatically in CI/CD, ensuring your docs always match your models. Goal Best Format Recommended Tool Auto-generate PNG / SVG diagrams DOT → PNG django-exten…  ( 8 min )

A SIP calculator is one of the easiest tools for understanding how much your investments can grow over time. Whether you invest every month through SIP or put in money once through a lumpsum, the calculator shows how your money compounds, how much wealth you can build, and what your final maturity amount may look like. A lot of people assume SIP and mutual funds are the same thing, but SIP is simply a method of investing in mutual funds. You can either invest regularly (SIP) or put everything at once (lumpsum). In both cases, a SIP calculator or mutual fund calculator helps you estimate how your investments will perform in the future. A SIP calculator is a digital tool that tells you how much return you can expect when investing through SIP. You enter three simple inputs: Your SIP amount (…  ( 9 min )

We've been working with our friends from Anthropic for a while now, and it's finally time to share: Claude Opus 4.5 is launching today. Our team at Kilo Code has been spoiled testing a preview of the latest model from Anthropic. Today, Anthropic officially launches Opus 4.5, and we're making it available immediately in Kilo Code. The most significant change? Opus 4.5 introduces something genuinely new: effort settings. You can now tell the model how hard to think. High effort: Claude takes its time, uses more tokens, delivers maximum intelligence (this is Anthropic's default) Medium effort: The sweet spot for most tasks Low effort: Fast, efficient, and surprisingly capable for straightforward coding tasks Think of it like having three models in one. Need a quick function? Low effort…  ( 8 min )

Table of Contents Introduction Why AI Matters in DevOps Learning AI-Powered Learning Strategies 3.1 Interactive Chatbots and AI Mentors 3.2 Intelligent Code Review and Feedback 3.3 Automated Labs and Simulation Environments Step-by-Step AI-Driven DevOps Learning Workflow Real-World Use Case Examples 5.1 CI/CD Pipeline Automation with AI 5.2 AI for Infrastructure as Code (IaC) Troubleshooting Developer Tips for Maximizing AI Learning AI Tools & Libraries to Explore Common Developer Questions Conclusion DevOps is complex. From CI/CD pipelines to monitoring, container orchestration, and cloud infrastructure, mastering DevOps takes time. But what if AI could accelerate your learning curve? This guide provides actionable, technical ways AI can help you learn DevOps faster, with examples…  ( 8 min )

Master Java substring(): Your Ultimate Guide to Slicing and Dicing Text Alright, let's talk about one of the first things you genuinely need to know when you're getting your hands dirty with Java: how to work with text. And when it comes to text (or Strings, in Java-speak), one of the most common tasks is extracting a part of it. Want to get the first name from a full name? Parse a date? Extract a domain from a URL? You're going to need the substring() method. It sounds simple, right? But if you've ever been hit with an IndexOutOfBoundsException, you know it can be a bit tricky. So, let's break down Java's substring() method in a way that actually makes sense. No jargon, no fluff—just a clear, practical guide you can use right now. What Exactly is the substring() Method? You tell it wher…  ( 10 min )

Your dishwasher might soon know more about your electricity bill than you do. As renewable energy transforms the grid and artificial intelligence infiltrates every corner of our lives, a new question emerges: could AI systems eventually decide when you're allowed to run your appliances? The technology already exists to monitor every kilowatt-hour flowing through your home, and the motivation is mounting as wind and solar power create an increasingly unpredictable energy landscape. What starts as helpful optimisation could evolve into something far more controlling—a future where your home's AI becomes less of a servant and more of a digital steward, gently nudging you toward better energy habits, or perhaps not so gently insisting you wait until tomorrow's sunshine to do the washing up. Th…  ( 28 min )

Three weeks ago, I published Tiramisu Framework v1.0 — a simple RAG system for marketing consultancy. 🎯 TL;DR ✅ Real multi-agent architecture (not simulated) 🔗 GitHub frameworktiramisu@gmail.com ⚠️ Important Legal Notice ✅ Add your own knowledge base and documents No proprietary content, copyrighted materials, or brand names are included in the distributed package. 📊 The Evolution: v1.0 → v2.0 🧠 What is RAO? (And Why It Matters) Tiramisu v2.0 = Level 6 complete 🏗️ The New Architecture 💻 Code Comparison rag = TiramisuRAG() v2.0 - Intelligent Routing: system = TiramisuMultiAgent() print(result['consultant']) # "Gary" (social media expert) 🎯 Feature 1: Hybrid Supervisor (100% Accuracy) # Layer 1: Keywords (fast, 95% of cases) gary_keywords = ["instagram", "tiktok", "social", "…  ( 19 min )

Does your test suite feel like it's fighting against you instead of helping? Every QA team faces similar frustrations: flaky tests that pass locally but fail in CI, debugging sessions that take longer than writing the tests, and execution times that slow down releases. The framework you choose directly impacts whether these problems improve or worsen. Let's examine how Playwright and Cypress address common testing challenges differently. The Real Problem: Not All Testing Tools Solve the Same Problems Before diving into features, let's acknowledge the truth: you're not choosing a testing tool because it's popular. You're choosing it because you have specific problems to solve. Common challenges teams face: Tests that randomly fail without code changes Debugging failures that happened in CI…  ( 9 min )

Pt I: Read Here Il existe une réalité que beaucoup évitent d’aborder : malgré nos prières, notre humanisme, notre compassion naturelle… le sort général de nos vies ne semble pas toujours refléter nos efforts ou notre foi. Dieu est-Il injuste ? Est-Il silencieux ? Ou n’existe-t-Il tout simplement pas ? Pourtant, dans le même monde, dans les mêmes villes, dans les mêmes familles, on voit aussi des choses impossibles à expliquer autrement que par une force extérieure. Mais le contraste fait mal : Est-ce une injustice ? Est-ce un prix qu’on paie ? Un mystère ? La réincarnation ? Personnellement, je reste convaincu que Dieu existe. “Car mes pensées ne sont pas vos pensées, et mes voies ne sont pas vos voies.” Ésaïe 55:8 Et c’est peut-être là toute la tension : On doit quand même admettre quelque chose : Mais cela révèle aussi une vérité fondamentale : On est là pour quelque chose qui nous dépasse. La Bible dit d’ailleurs : “Tout est permis, mais tout n’est pas utile.” 1 Corinthiens 10:23 Comme pour rappeler que oui, Dieu nous laisse libres, mais que cette liberté s’inscrit dans une histoire plus vaste. Quant à la souffrance… la question reste ouverte. Alors vivons. Parce qu’au final, malgré le silence apparent, “Je suis avec vous tous les jours.” Matthieu 28:20 C’est peut-être ça, notre véritable espoir.  ( 7 min )

AWS CDK has newly introduced Mixins as a major feature that will become the core of future CDK development, currently available as a Developer Preview. This feature is expected to significantly change how CDK will be used in the future. As of November 2025, Mixins is in Developer Preview. Please be aware that the specification and behavior may change significantly in the future. Mixins is a mechanism for applying composable abstractions to any Construct, regardless of whether it's an L1 or L2 Construct. It was introduced in CDK v2.229.0, but as of November 2025, it is still in Developer Preview. Not all features are fully available yet, and more functionality and improvements are planned to be added in the future. This article explains the overview and usage of Mixins in a more accessible …  ( 12 min )

Machine Learning (ML) has become one of the most influential technologies of our time. Whether it’s understanding customer behavior, automating tasks, or creating intelligent systems, ML is everywhere. And at the heart of this revolution lies Python, the most preferred programming language for machine learning worldwide. Why Machine Learning and Python Go Hand-in-Hand The Benefits of Learning Machine Learning With Python Beginner-Friendly and Clean Syntax Python doesn’t overwhelm learners with complex rules. Instead, its readable structure helps beginners focus on concepts instead of syntax. Powerful Libraries for Machine Learning Python offers a rich ecosystem of ML and data science libraries such as: • NumPy – Numerical data handling • Pandas – Data cleaning, preprocessing • Scikit-learn – Classical machine learning algorithms • TensorFlow & PyTorch – Deep learning • Matplotlib & Seaborn – Data visualization These tools help you build powerful ML models with minimal code. Real-World Application Across Industries Today, organizations use ML for: • Fraud detection • Healthcare diagnostics • Recommendation engines • Customer analytics • Natural language processing • Image recognition • Financial forecasting Learning ML with Python prepares you for opportunities across multiple industries. Why 2025 Is the Best Time to Learn ML With Python How Python Improves the ML Workflow Final Thoughts machine learning with python course in chennai offered by Immek Softech Academy is designed to help you build real-world skills and become job-ready.  ( 7 min )

If you’re juggling an assignment online about advanced software engineering or preparing real-world projects for your portfolio, check out this resource: Assignment Online Modern apps — from global chat platforms to live analytics dashboards and multiplayer games — must handle unpredictable traffic, deliver low latency, and survive component failures without downtime. Mastering distributed system design teaches you how to trade consistency for availability, reason about partial failures, and combine multiple technologies into resilient architectures. Employers prize developers who can design systems that continue to work when the network doesn’t. Distribution & Consistency models Event-driven architecture & messaging Microservices & service discovery State management & storage Fault tolera…  ( 8 min )

This article reflects my personal experience over 8 months of intensive AI-assisted development across multiple projects. Your mileage may vary, but the principles should translate across languages and frameworks. I was presenting this topic at Moldova DevCon 2025 and i want to share the whole story. This is my journey in pair software development with AI. This is not an advertisement or promo for any of products and any services i'm going to talk about. This is a personal opinion. I'll talk about some challenges and gains that i've encountered during these coding sessions. Eight months ago, I was that developer who rolled his eyes at AI coding tools. "Just fancy autocomplete," I thought. "Real developers don't need assistance." Basically, I didn't want to pay for stuff that I don't believ…  ( 15 min )

Intro I have been fooling around a lot with ai recently, and I thought I would write something about what I've been doing. There are a few things that I've been doing, and they're all fascinating. Writing average looking code using minimum viable prompts. Getting this average looking code refactored to be a robust service. Generating API documentation - and having Claude fix this code. This is part one of a small series that I have created to walk through the process I went through to get decent code. I had a crazy idea. I thought to myself, let's write something that will go through my git repos and automagially update my dockerfiles so that the dockerfile uses a fixed but more recent version of the base image. Most Dockerfiles have a fixed base image line that looks something like this…  ( 13 min )

Late 2022. I still remember the excitement. I pulled my classmate aside, opened my laptop, and typed a prompt into this new thing called ChatGPT. When the text streamed back, eyes widened. It felt like magic. It felt like the future. Back then, my message to everyone was simple "You guys need to try this. It's cool. It's going to change everything." Fast forward to Saturday, November 1 (Late 2025). I was standing in front of 70+ people at the Soedirman Digital School event with Purwokerto Dev. I was still talking about AI. But the message had changed completely. I wasn't there to hype the tools anymore. I was there to talk about the risks. The bias. The cognitive gap. How did I go from a "fanboy" to a "realist"? Here is the story. We need to admit something, as Gen Z, we have a massive pr…  ( 8 min )

Writing clean code rarely causes burnout. The real culprit is the cognitive load of context switching, managing infinite dependencies, and putting out infrastructure fires while trying to ship features. In 2025, 78% of senior engineers report feeling overwhelmed by operational complexity rather than algorithmic challenges. Multi-agent orchestration changes this dynamic by treating AI not just as a chatbot, but as a specialized team. By assigning specific roles—like tester, debugger, and documenter—to autonomous agents, developers regain the focus required for deep work. The role of a software engineer has mutated. It no longer involves just writing functions; it involves wrangling Kubernetes configurations, securing API endpoints, and managing cloud resources. A 2025 State of DevOps report…  ( 11 min )

For a long time, “frontend” sounded like a thin layer of buttons and CSS on top of the “real” application. Today, that picture is completely broken. Frontend is where product decisions surface, where performance is felt, and where user psychology either works for you or against you. All of that is happening inside a single render cycle. When someone taps a button or loads a page, they are judging not just your design but your product, your engineering, and your understanding of their needs. That is why the biggest upgrade for modern frontend developers is not learning yet another framework. The real shift is learning to think in systems. Frameworks come and go, patterns trend and fade, but a systems mindset compounds across teams, codebases, and entire products. Think in Systems, Not Scree…  ( 9 min )

A Grounded Manifesto for Law-N, CLSI, and the Future of Programmable Signals Post #2 of Law-N | November 2025 Every system we rely on today—cloud computing, mobile networks, 5G towers, routers, satellites, cables, Wi-Fi, API gateways—all of it is built on networking laws invented between 1973 and 1998. TCP/IP v4 (1981): Published as RFC 791 and 793 in September 1981, adopted as the standard for ARPANET on January 1, 1983—the "flag day" when the modern Internet was born12 DNS (1983): Domain Name System introduced HTTP (1991): The protocol that powers the World Wide Web GSM (1991): Global System for Mobile Communications launched 2G (1991): Second-generation cellular networks Modern Internet (1998): IPv4 reached widespread commercial adoption Yet we are living in 2025, running: 6 billion…  ( 30 min )

We've all heard that "high cohesion" is good. But what does cohesion actually mean? Most definitions focus on the mechanics: "elements that belong together should be grouped together." But this raises the question: how do we know what "belongs together"? The answer lies in understanding cohesion as a knowledge organization principle. Here's a more fundamental way to think about cohesion: Cohesion is about grouping knowledge that changes for the same reason Knowledge that varies together should be grouped together. Knowledge that varies independently should be separated. When you have high cohesion, all the knowledge in a unit changes for one reason—driven by one change driver. When you have low cohesion, the knowledge in a unit changes for multiple independent reasons—driven by different, …  ( 12 min )

🎯 Key Takeaways (TL;DR) A single 1B multimodal architecture covers detection, recognition, parsing, translation, and more in one unified OCR pipeline. Dual inference paths (vLLM + Transformers) plus well-crafted prompts make rapid production deployment straightforward. In-house benchmarks show consistent gains over traditional OCR and general-purpose VLMs across spotting, document parsing, and information extraction. What Is HunyuanOCR? Why Is HunyuanOCR So Strong? How to Deploy HunyuanOCR Quickly? How to Design Business-Ready Prompts? What Performance Evidence Exists? How Does the Inference Flow Work? FAQ Summary & Action Plan HunyuanOCR is Tencent Hunyuan’s end-to-end OCR-specific vision-language model (VLM). Built on a native multimodal architecture with only 1B parameters, it reach…  ( 9 min )

CinemaSins drops a 16-minute “Everything Wrong With KPop Demon Hunters” video, poking fun at what a sinning version of that film might sound like—packed with their signature jokes and nitpicks. The description is basically a self-promo, pointing you to Cinemasins.com, their YouTube channels, a poll, Patreon support, and a whole list of writers and social links (Twitter, Instagram, Discord, Reddit, TikTok, even a book). Watch on YouTube  ( 6 min )

In Part 3 of this series, we enhanced our AI agent with domain-specific knowledge through RAG, allowing it to answer questions based on company documents. However, we discovered another critical limitation: when asked about real-time information like weather forecasts or current dates, the agent couldn't provide accurate answers. AI models are trained on historical data with a knowledge cutoff date. They don't have access to real-time information like current weather, today's date, live flight prices, or currency exchange rates. This makes them unable to help with time-sensitive tasks that require up-to-date information. In this post, we'll add tool calling (also known as function calling) to our AI agent, allowing it to access real-time information and take actions by calling external API…  ( 12 min )

The world is shifting towards AI-powered solutions, but there’s more to successful AI adoption than just creating sophisticated models. For businesses, the real question is how to deliver AI products that actually work, scale, and integrate seamlessly with their operations. The good news is that Ruby on Rails is becoming a key tool for AI adoption in businesses. By using Ruby on Rails, companies can quickly turn advanced AI models into useful tools that bring real value to both customers and teams. In this article, we’ll explore why Ruby on Rails AI development is the best choice for companies looking to harness the power of AI, and how it accelerates the transition from AI concept to real business impact. Artificial Intelligence is exciting, but many organizations face challenges in trans…  ( 15 min )

AI Agent Memory: From Manual Implementation to Mem0 to AWS AgentCORE Introduction AI agents need memory to remember past conversations, user preferences, and learned information. Just like humans have different types of memory (short-term, long-term, episodic), AI agents use different memory systems to function effectively. This guide explains memory in simple terms and shows you how to implement it both without external tools (using pure Python) and with external tools (using specialized services). We'll end with a complete end-to-end solution using Mem0 that combines all memory types. Think of AI agent memory like human memory: Memory Type What It Does Simple Example Short-term Memory Remembers current conversation "What did the user just say?" Long-term Memory Reme…  ( 19 min )

Which of the following do you think is faster? direct DOM API calls (createElement, appendChild) assigning HTML strings to innerHTML Chances are you'll say the former is faster and most people would agree. Now, critical thinking to the rescue. Is this really, really true? At the end of the day, browsers have been optimised around parsing HTML for decades and writing HTML feels better than the raw DOM API, so... true or not, is is worth it at all? Thought it's time to test assumptions and hypotheses, both in extreme and more realistic scenarios. An extreme scenario is one where you render a view tens of thousands of times on a page. In a realistic scenario, you render a view once. Two simple functions on the scene. One builds the view by hand with createElement, setAttribute, appendChild…  ( 8 min )

In the high-speed, high-stakes world of modern development, a professional’s worth is measured by two inseparable metrics: the depth of their technical skill and the breadth of their public trust. It is a paradox of the digital age that the very transformation making us better technically (the shift from coder to engineer) must be validated by transparent, human feedback (public review platforms). My name is Simon Leigh, and as the Director of Pure Reputation, I spend my professional life at the intersection of expertise and trust. The two concepts—internal competence and external accountability—must converge, or the foundation of a career, or an organization, will prove fragile. We must understand that our professional value chain starts with a profound mindset shift happening within the …  ( 10 min )

Generative Simulation Benchmarking for smart agriculture microgrid orchestration with zero-trust governance guarantees It was during a late-night research session analyzing energy consumption patterns in automated vertical farms that I had my breakthrough moment. While studying the complex interplay between renewable energy sources, crop growth algorithms, and security protocols, I realized that traditional simulation approaches were fundamentally inadequate for modeling the dynamic, multi-agent environment of modern smart agriculture microgrids. My exploration of quantum-inspired optimization algorithms revealed that we needed a paradigm shift—one that could generate realistic simulation environments while maintaining ironclad security guarantees. During my investigation of agricultural…  ( 11 min )

What do you do when your dataset is small, you can’t collect more data, and every conclusion feels unreliable? Most beginners think the only answer is: “Get more data.” They learned how to squeeze hundreds of new datasets out of one tiny dataset— This trick is called Bootstrapping, Let’s break it down in the simplest way possible. What is Resampling? Resampling means: Taking samples from your existing data again and again to learn more about the population. It is used when: Data is small You can’t collect more data You want to estimate accuracy or uncertainty Two main types: Method Meaning Bootstrapping A resampling method where you create many new datasets by sampling with replacement to estimate a statistic’s accuracy and uncertainty. Jackknife A resampling method where yo…  ( 8 min )

Building an online community today is a lot like building a friendly neighborhood, but in the digital world. You need tools that help people connect, share, chat, and engage without friction. WordPress, being as flexible as it is, gives you countless WordPress community plugins to do exactly that. But with so many options out there, how do you pick the right ones? In this guide, I’ll walk you through the 8 best WordPress community plugins for 2025, all in simple language and with honest, human explanations. Think of this as your roadmap to creating a lively and interactive space that people will love to be part of. WordPress community plugins are tools that help you turn your website into an interactive online space where people can connect, communicate, and engage. Think of your website a…  ( 7 min )

Quick Answer: Implementing comprehensive website security requires a three-layer defense strategy: foundational protocols (HTTPS, WAF, secure authentication), continuous maintenance (updates, backups, secure hosting), and security-first development practices. According to cybersecurity research, 43% of cyber attacks target small businesses, making proactive security measures critical for all website owners. Why Website Security Matters in 2025 68% of data breaches involve human error or weak authentication systems Average cost of a website breach: $4.45 million (IBM Security Report 2024) Recovery time without proper backups: 7-14 days minimum 1. Foundational Security Protocols: Your First Line of Defense These core measures protect against 85% of common cyber attacks and build immedi…  ( 10 min )

TypeScript’s structural type system is convenient and flexible: two types are compatible when their shapes match. That convenience can become a problem when you want different domain concepts (e.g. UserId vs ProductId) to be treated as distinct even though both are plain strings or numbers. This post explains two effective patterns for making types nominal-like in TypeScript: branding (tagged types) and the unique property pattern (using unique symbol). You’ll get practical code, runtime-friendly factories and guards, and guidance about trade-offs and pitfalls. Example of the problem: type UserId = string; type ProductId = string; function getUser(id: UserId) { /* ... */ } const pid: ProductId = "p-123"; getUser(pid); // allowed — but this is probably a bug Because UserId and ProductId …  ( 9 min )

Introduction In modern backend engineering, API integrations are no longer “extra features”, they are the backbone of how systems communicate, automate, and scale. Whether you’re building a fintech product, a logistics platform, a telecom service, or a healthcare system, your application will eventually depend on external APIs for mission-critical operations. The challenge is that most engineers approach integrations as simple HTTP calls. In reality, designing reliable, secure, high-performance integrations requires thinking in terms of architecture, failure modes, resilience, abstraction layers, and long-term maintainability. In this breakdown, I explain API integrations the same way I would coach a backend engineer joining a large-scale engineering team. The goal is to shift your minds…  ( 9 min )

Why does your pointer not point where you think it does?. In the previous article What Every Programmer Should Know About Memory (Part 1), we covered sections 2 and 3 from the article: What Every Programmer Should Know About Memory by Ulrich Drepper. In this article, we will continue from where we left off and cover section 4 (yes, section 4 only). The previous article explored memory hierarchies from the ground up — how DRAM hardware works, why CPU caches exist, and practical optimization techniques like cache-line awareness and data structure layout. We examined the physical reality behind the "flat array" abstraction and learned why memory access patterns matter for performance. In this article, we continue with section 4 of Ulrich Drepper's paper, diving deep into Virtual Memory — th…  ( 14 min )

Modern applications often consist of multiple microservices running independently. In this guide, we will deploy two microservices (Node.js + Python Flask) to AWS ECS Fargate, automatically: Building Docker images Scanning with Trivy Pushing to Docker Hub Deploying to ECS Fargate with Application Load Balancer Routing paths /users and /orders All using OpenTofu (Terraform alternative). microservices-ecs-tofu/ ├── services/ │ ├── user-service/ │ │ ├── Dockerfile │ │ ├── app.js │ │ ├── package.json │ │ └── node_modules/... │ └── order-service/ │ ├── Dockerfile │ ├── app.py │ └── requirements.txt └── tofu/ ├── ecs.tf ├── iam.tf ├── network.tf ├── main.tf ├── terraform.tfvars ├── variables.tf └── scripts/ └── build_scan_…  ( 9 min )

Orchestrating Nature: AI-Powered Birdsong Soundscapes Ever tried building a realistic outdoor scene only to find the birdsong sounds repetitive and lifeless? Creating truly dynamic and diverse natural soundscapes has always been a challenge, requiring extensive recording libraries or complex manual sound design. Now, imagine an AI that can compose entire ecosystems of birdsong, dynamically shifting with time and space. This breakthrough involves algorithmic sound synthesis combined with spatial audio rendering. Instead of relying on pre-recorded samples, the system uses mathematical models to generate individual bird calls, mimicking the complex frequency modulations and amplitude envelopes characteristic of each species. This generative approach allows for an endless variety of realisti…  ( 7 min )

In a significant development in the world of cloud computing and artificial intelligence (AI), NATO has announced a multi-million dollar deal with Google Cloud to create an AI-enabled sovereign cloud. This partnership marks a major milestone for both parties, as it enables the integration of cutting-edge technology with security and data sovereignty. A sovereign cloud refers to a cloud computing environment that operates independently from any third-party service providers. It's essentially a cloud infrastructure owned and managed by an organization itself, providing control over data storage and processing. Sovereign clouds are gaining popularity among governments and institutions seeking to maintain data security and compliance with local regulations. The integration of AI technology int…  ( 7 min )

L'outil de cybersécurité incontournable : Wireshark Introduction Dans le monde connecté d'aujourd'hui, la cybersécurité est une préoccupation majeure pour les entreprises et les particuliers. Les cyberattaques sont de plus en plus sophistiquées et fréquentes, ce qui rend essentiel l'utilisation d'outils de cybersécurité efficaces. Parmi ces outils, Wireshark est un incontournable pour analyser le trafic réseau, détecter les failles de sécurité et garantir la protection des données sensibles. Wireshark est un analyseur de protocole réseau open source qui permet de capturer et d'inspecter le trafic en temps réel. Il est largement utilisé par les professionnels de la sécurité informatique et les administrateurs réseau pour analyser le comportement des réseaux, identifier les a…  ( 7 min )

Modern Haima engines include advanced electronic throttle control and multi‑point fuel injection systems optimized for low‑speed torque and emission efficiency. In daily repair operations, these systems often show calibration drift after 60,000 km due to sensor hysteresis and aged ignition maps. During the last months at our workshop in Tehran we observed several Haima repair shop units with inconsistent idle speed caused by slight mismatch between IAC stepper control and ECU baseline airflow table. Many technicians replace actuators before examining the adaptive fuel trims. But on Haima engines, the real issue often lies in the temporal alignment between throttle opening rate and manifold pressure transient. Using only an OBD snapshot isn’t enough — data logging under dynamic load (i.e., simulated hill climb) gives more reliable insights. The most stable correction we found was clearing the long‑term fuel trim (LTFT) values, running the idle learning cycle, and re‑mapping the ignition advance using a scanner that supports GDI adaptive tables. This can recover up to 5–8 % of lost efficiency. From a thermal standpoint, Haima’s radiator core is small relative to engine bay volume, which increases localized heat stress at the throttle body zone. Regular coolant replacement with G12++ improves the actuator’s life‑cycle notably. ⚙️ Engineering note: ECU synchronization and thermal equilibrium are inseparable in modern Haima vehicles; diagnostics should always consider both software behavior and heat‑transfer equilibrium rather than component isolation. Written from field observations as part of engine system diagnostics training in Tehran.  ( 6 min )

I love programming and after exploring cloud and devops, I was almost giving up but terraform is sparking my interest again. I think I’m one of the few people who actually enjoy a formal introduction to things. Today was my official introduction to Terraform. I explored why Terraform exists, the problems it solves, the old-school way people used to interact with cloud platforms, and why Infrastructure as Code matters in modern engineering. If Terraform or IaC still sound new to you, here’s the simplest update: Infrastructure as Code is a way to create cloud resources using code instead of clicking around dashboards. Terraform is the most popular tool for this, letting you describe the infrastructure you want and then letting Terraform talk to the cloud provider on your behalf. Get started …  ( 7 min )

I've been building on AWS for multiple years now, and one of the most repetitive parts I found was writing crude operations for DynamoDB. Every project starts the same: use boto3 to define the table define a big JSON payload JUST to fetch some data from the table copy-and-paste methods from previous projects for all CRUD operations, basically adding boilerplate code That's when I found out about a library called PynamoDB , a lightweight ORM for DynamoDB tables and that changed the way I manipulate table’s data. Welcome to the part two of creating code for a real estate platform where in the first post we went over a pipeline of labeling main parts of the properties and now we're gonna go over Lambdas which are responsible for CRUD operations. The code in this post will be a shortened versi…  ( 13 min )

If you're an engineer, you've likely been there: you receive an email from the VPE. "Our cloud burn rate is up 15% this quarter. Find the leak." Suddenly, you’re spending a week digging through Cost Explorer when you should be shipping features. This reactive loop is a system failure. The cost of an S3 bucket or an undersized Redis cluster isn't hidden; it's just hidden from the people making the deployment choices (the developers). The Solution: Move Cost Awareness to the Merge Request. Step 1: The Cost Budget Function The trick is to connect that plan to a cost estimator. Tools like Infracost or Terragrunt hooks can parse the plan output and give you a dollar estimate for new/modified resources. What we're looking for: A 'cost_impact_monthly' variable that appears for every single PR modifying infrastructure. Step 2: Implementing the CI/CD Gatekeeper We define two simple rules in our CI pipeline (e.g., GitHub Actions, GitLab CI): Low Impact Threshold (Green Path): If cost_impact_monthly is $100 (or $500, define your risk tolerance), fail the pipeline and require a specific /cost-approved comment from an Engineering Manager (or FinOps role) to proceed. This is the non-obvious shift: The friction is applied only when the financial risk is high. This makes the Engineering Manager the conscious gatekeeper for major spending, while preserving developer flow for minor changes. The Outcome: From Audit to Prevention By treating cloud spend as an observable artifact of the deployment pipeline, we turn a quarterly audit problem into a daily prevention system. Developers become cost-aware by default, and your VPE stops sending those embarrassing emails. You’ve successfully made the cheap way the easiest way to ship  ( 7 min )

Background I understand why you might dislike DEI... I understand why some of you might have reservations about DEI. It's partly due to the disruptive actions of some radical minorities. The recent move to abolish DEI in the U.S. is fresh in memory, and there may be engineers who inwardly applauded this decision. In fact, some tech companies have removed mentions of DEI from their websites. From the standpoint of a Knowledge Architect, I must say that DEI is actually crucial for engineers. This is not about accepting the radical actions of a minority. It's a more fundamental and forward-thinking issue. It helps protect you and is especially pertinent, if not essential, for those in roles like engineering managers or staff engineers who have a broader organizational perspective…  ( 10 min )

Today I learned Linux fundamentals, and it was a super valuable experience for me as an AWS & DevOps Engineer. 🤗 I understood how Linux is the backbone of most cloud environments, servers, and container systems like Docker & Kubernetes. It provides a secure, stable, and highly customizable platform, making it essential for automation, troubleshooting, and cloud deployment. Learning Linux is definitely boosting my confidence in building efficient cloud and DevOps solutions. 🚀 If you found this helpful, share your thoughts, experiences, or tips in the comments — I’d love to learn from you too! 😊 Linux was created in 1991 by Linus Torvalds as a free and open-source alternative to UNIX. The first Linux kernel was released publicly, allowing global developers to contribute and improve it…  ( 9 min )

Edge computing is quickly becoming the backbone of real-time digital transformation. In a world where milliseconds matter—from autonomous vehicles making instant decisions to factories predicting equipment failures before they happen—businesses can’t rely solely on centralized cloud systems anymore. They need speed, reliability, and intelligence right at the source of data, and that’s exactly where edge computing steps in. Today’s enterprises are shifting toward real-time digital transformation, where automation, analytics, customer experience, and operational systems must respond instantly. This demand is pushing organizations to adopt edge-driven architectures that keep computation close to users, devices, and machines. Digital transformation used to revolve around cloud adoption. But as…  ( 8 min )

Moving files between environments can be a headache. Whether it’s from on-premises to Azure, or from AWS to Azure, there’s always the same challenge: how do you do it securely, at scale, and without reinventing the wheel? Traditionally, you might reach for tools like AzCopy, Azure Data Box, or Azure Migrate, but there’s a new option designed to make migrations smoother: Azure Storage Mover. In this post, I’ll walk you through what Azure Storage Mover is, highlight its new cloud-to-cloud migration capability for moving data from Amazon S3 to Azure Blob Storage, and show you how to get started. Azure Storage Mover became generally available in February 2022, it was launched as a fully managed hybrid migration service that made moving your files and folders to Azure easy. Azure Storage Mover…  ( 11 min )

Step 1: Account Setup Step 2: Upload Project Files Open File Manager: In the cPanel, find and click "Open File Manager". *Step 3: Set up the Database * Import Database: In phpMyAdmin, go to the "Import" tab. Click "Choose File", select your local .sql database file, and click "Go" to upload it. Step 4: Configure Your PHP Project Edit Configuration File: In the File Manager, locate your database configuration file (e.g., config.php, db.php, or similar). Open it for editing. Update Credentials: Change the localhost database credentials to the new InfinityFree credentials. You can find the required details (DB Hostname, DB Name, DB Username, DB Password) in your client area under "MySQL Details": DB Server (Hostname): This will be a specific hostname, not localhost. DB Username: A unique username generated by InfinityFree. DB Password: The password you set for the hosting account (or database password if you set one separately). DB Name: The name you provided when creating the database in cPanel. Save Changes: Save and close the configuration file. Your PHP project should now be deployed and accessible via the domain name you selected in Step 1. You may need to clear your browser cache to see the changes.  ( 7 min )

‘Two for the Money’ Rewatchables Recap Bill Simmons, Chris Ryan, and Cousin Sal fire up their favorite Monday night parlay to revisit the 2005 sports thriller Two for the Money (starring Matthew McConaughey, Al Pacino, and Rene Russo). They kick things off with a cold open, dive into the movie’s high-stakes betting dynamics, pick their most rewatchable scene, and roll out their signature rating categories. Produced by Craig Horlbeck, Chia Hao Tat, and Eduardo Ocampo, this episode is powered by Subaru’s Share the Love® Event and State Farm. Don’t forget to hit up The Ringer’s YouTube channels and social feeds to keep the conversation going! Watch on YouTube  ( 6 min )

CinemaSins is back on the yellow brick road with “Everything Wrong With The Wiz In 15 Minutes Or Less,” poking fun at the classic now that Wicked’s back in theaters. They promise a rapid-fire rundown of every cinematic sin, while nudging you to explore their site, YouTube channels, and Linktree for even more film nitpicking. They’re also begging for your sinful opinions via a quick poll, asking for Patreon love, and inviting you into their Discord, Reddit, Instagram, and TikTok communities—plus you can follow their writers Jeremy, Aaron, Jonathan, Deneé, Ian, and Daniel across social media. Watch on YouTube  ( 6 min )

Everything Wrong With KPop Demon Hunters In 16 Minutes Or Less is a snark-packed CinemaSins breakdown of the film, where the team rips into every plot hole, cheesy one-liner and over-the-top dance-fight moment. If you’ve ever wondered what it sounds like when nitpickers tackle K-Pop–fueled demon slaying, this video has you covered in signature Cinemasins style. Along the way you’ll find links to their main site, YouTube spinoffs (@TVSins, @CommercialSins), a fan poll, Patreon support and a Linktree for all the latest updates. They even shout out their writers and social handles, plus invite you to join the Discord and Reddit community for more sinful fun. Watch on YouTube  ( 6 min )

In a world that never seems to slow down, we are constantly chasing deadlines, notifications, and the next big thing. We are more connected than ever, yet many of us feel a growing sense of disconnection from ourselves and what truly matters. Amidst this digital noise and constant hustle, a quiet but powerful trend is emerging: a return to spirituality. But what does that even mean today, and why is it becoming so essential? Modern life often measures success in material terms: career advancements, financial gains, and social status. While these can be rewarding, they don't always fill the deeper human need for purpose. Spirituality offers a different lens through which to view life. It encourages you to look inward and ask the big questions: Who am I? What is my purpose? What brings me…  ( 8 min )

For cross-border e-commerce businesses, the digital marketplace is filled with opportunities, but it also comes with its share of risks. When running an online store that serves customers in different countries, the website is constantly exposed to a range of cyber threats, from bot attacks and credit card fraud to data scraping and denial-of-service (DoS) attacks. One such e-commerce business, an independent store selling specialized products across multiple countries, faced a growing number of security challenges. After suffering from bot-driven fraud attempts, scraping, and some SQL injection attempts, the owner turned to SafeLine, a self-hosted Web Application Firewall (WAF), to enhance security, regain control, and ensure the integrity of the business. This case study details how Sa…  ( 9 min )

The Crime Scene It was 2 AM on a Tuesday when my phone exploded with alerts. Our e-commerce platform was dying. Response times had ballooned from 200ms to 45 seconds. The CPU graphs looked like a heart monitor during a cardiac arrest. I logged in, hands shaking, coffee forgotten. The culprit? A seemingly innocent query: SELECT * FROM products WHERE description @@ to_tsquery('wireless bluetooth headphones') ORDER BY created_at DESC LIMIT 20; My "fix" from earlier that day: adding a B-Tree index on the description column. The problem: I'd brought a lockpick to a safe-cracking job. This disaster taught me something crucial: PostgreSQL indexes aren't just about "making queries faster." They're specialized tools, each designed for specific types of heists—I mean, queries. Using the wrong …  ( 15 min )

Understanding the hidden failure mechanisms in Li-ion/Li-polymer batteries for better hardware design. Lithium batteries power almost everything from IoT devices and wearables to drones and robotics. However, many developers struggle with unexpected battery failures — sudden drops in runtime, swelling, overheating, or even thermal runaway. Understanding why lithium batteries fail is crucial for makers, engineers, and hardware developers to build reliable devices. This article breaks down the technical causes, symptoms, and engineering considerations. Overcharging & Voltage Stress What happens: Charging a Li-ion battery beyond its maximum voltage (usually 4.2V per cell) leads to chemical stress: Formation of lithium metal on the anode (lithium plating) Breakdown of the electrolyte I…  ( 8 min )

Overview No-code and low-code development platforms are transforming the way we create software. By replacing complex programming languages with intuitive visual interfaces, these tools empower almost anyone to build applications, automate workflows, and solve business problems. This movement is critical now because it addresses the pressing need for faster innovation and helps bridge the ever-widening gap between the demand for digital solutions and the limited supply of professional developers. Imagine having a brilliant idea for an app that could solve a major pain point for your team or customers. In the past, the path from idea to reality was a long and expensive one, requiring specialized coding skills and significant development resources. That barrier is crumbling. The rise of no…  ( 9 min )

The drive towards a circular economy in the UK is gaining momentum, with the Government's 'Circular Economy Growth Plan' for England now anticipated in the new year. This strategic shift, despite a slight delay from its initial autumn 2025 consultation target, signals a significant evolution in how industries, including commercial real estate (CRE), will approach resource management. For property owners and asset managers, understanding this impending framework is crucial, as it will shape future operational practices, compliance requirements, and investment decisions, moving away from a traditional 'take-make-dispose' model towards one that values reuse, repair, and recycling. The traditional linear economy model, prevalent for decades, has led to immense waste generation, resource deplet…  ( 8 min )

Problem Definition Ordering log events produced across distributed systems is fundamentally constrained by the nature of independent physical clocks. Wall-clock timestamps cannot provide a reliable global sequence, because each machine maintains its own oscillator with unavoidable drift. Even under NTP or similar protocols, timestamp discrepancies accumulate continuously due to rate differences, network delays, and local scheduling effects. Any distributed operation introduces uncertainty in temporal order. Network latency, buffering, batching, and concurrency all contribute to the inability to determine whether two events across services occurred in a particular order when relying solely on physical time. The concept of temporal ordering is meaningful only within a single clock domain; …  ( 7 min )

I’ve been working with containerized applications for a while, and one thing that always confused me in the beginning was Docker image tagging. I just followed whatever the team did, pushed images, and hoped things worked. But over time.. especially when handling multi-tenant apps, shared registries, and too many deployments. I started to see how bad tagging decisions can break everything. So here’s my experience and what I learned the hard way. The moment I realized “latest” is a trap When I first started using Docker, I thought: “Ah, just push it with latest. Simple.” Until one day, a tenant’s production environment suddenly rolled back to a previous version. Because someone else on the team pushed a new image with the same latest tag. The registry replaced it silently. The cluster pulle…  ( 8 min )

The modern web is a battlefield. Between SQL injection attempts, automated credential stuffing, aggressive scrapers, and waves of bot traffic, every public-facing site is exposed to constant threats. To keep applications safe, developers and sysadmins have long relied on Web Application Firewalls (WAFs). Most teams default to cloud WAFs — offerings like Cloudflare, AWS WAF, or Akamai. They’re convenient and quick to deploy, but sometimes you need more than convenience. Maybe you need full control over traffic, maybe privacy regulations prevent you from routing data through third-party networks, or maybe the long-term subscription cost isn't appealing. That’s where self-hosted WAFs step in. And among the new generation of self-hosted solutions, SafeLine has been gaining traction for taking…  ( 8 min )

Building a Real-Time Crypto Arbitrage Monitoring System RisingWave Labs ・ Nov 25 #productivity #bitcoin #database #datascience  ( 6 min )

There is a misconception that "AI engineering" is just typing clever phrases into a chat window. In reality, ai model engineering is a rigorous technical discipline focused on optimizing the performance, latency, and behavior of probabilistic models. For developers building vertical-specific applications, the out-of-the-box performance of a foundation model is rarely enough. You need to engineer the model to fit your domain. Context Engineering and Window Management ai model engineering starts with context. The "context window" is the RAM of your AI application. Context Stuffing: Strategies to fit the most relevant information into the prompt without exceeding token limits. Token Optimization: Compressing verbose JSON data into CSV or Markdown formats to save tokens and improve model reaso…  ( 7 min )

🌟 What I Built I recreated a modern cross-platform UI inspired by a beautifully structured mobile dashboard layout. My goal was to take a clean, minimal interface concept and rebuild it using Uno Platform Studio Pro’s Hot Design tool, enhanced with the AI-powered Hot Design Agent. This concept was chosen because it allowed me to explore live UI adjustments, dynamic layouts, and Hot Reload synchronization — giving me full control over design refinement while the app was running. 🎨 Original Design Reference I selected a sleek mobile UI concept featuring: A hero header Card-based layout Rounded controls A modern light theme (Screenshots would appear here in the final post.) 🎥 Demo I built and ran the project across supported targets using Uno Platform. Running the app directly from the IDE…  ( 7 min )

Arbitrage is a simple strategy. You buy an asset on one exchange where the price is low and sell it on another where the price is high. In crypto markets, these price differences, or spreads, appear and vanish in milliseconds. If your data pipeline takes five seconds to process a batch of prices, the opportunity is already gone. This post demonstrates how to use RisingWave—an open-source real-time event streaming platform—to detect arbitrage opportunities with sub-second latency using standard SQL. The Engineering Bottleneck Arbitrage requires monitoring fragmented liquidity across Binance, Coinbase, OKX, and DEXs simultaneously. This creates three specific engineering hurdles. Velocity: During volatility, you might ingest over 10,000 price ticks per second. Synchronization: You cannot c…  ( 11 min )

In many organizations, fax has quietly transformed from a loud, paper-driven chore into a silent digital backbone for secure, compliant communication. This evolution is not just about replacing machines; it is about redesigning how information flows through critical workflows across the healthcare, finance, legal, and government sectors. Traditional faxing chained teams to physical devices, manual dialing, paper jams, and filing cabinets, slowing down approvals and increasing the risk of misplaced or exposed documents. Digital fax platforms shift this work into the cloud, providing centralized control over transmissions, storage, and routing so that documents move quickly while remaining auditable and secure. Instead of printing and scanning, users send documents directly from core app…  ( 8 min )

The "hello world" phase of generative ai development is officially over. We have moved past the era where simply calling an OpenAI API was enough to impress stakeholders. As we settle into 2025, the focus for software engineers has shifted entirely from experimentation to reliability, observability, and cost-efficient scaling. Building production-grade generative systems requires a rigorous engineering mindset. It is no longer just about prompt engineering; it is about architectural patterns that ensure determinism in a non-deterministic environment. The most significant trend we are seeing is the move away from monolithic LLM calls toward compound systems. In professional generative ai development, reliance on a single model's raw output is often a recipe for hallucination and latency. In…  ( 7 min )

This is where AI-powered recruiting is stepping in as a game-changer. With advances in automation, predictive analytics, and conversational AI, organizations are finally gaining tools that help remove bias, widen talent pools, and create a more equitable hiring experience for every candidate. Instead of replacing human recruiters, AI is becoming an intelligent partner—supporting better decisions, improving efficiency, and fostering fairness. This shift is reshaping recruitment practices across industries, making fair hiring not only possible, but scalable. Bias—whether conscious or unconscious—affects hiring decisions more than we often realize. Traditional recruitment heavily depends on human judgment, which can unintentionally favor certain backgrounds, education levels, appearances, or …  ( 9 min )

Today marks the exciting start of the #30daysofawsterraform challenge with @piyush Sachdeva, and Day 01 immediately tackled the most critical question in modern cloud engineering: Why do we need Infrastructure as Code (IaC)? The key takeaway is that relying on the cloud console for infrastructure management is a recipe for scaling issues, high costs, and system inconsistencies. Our goal is to move from manual clicks to automated, version-controlled code. The Core Problem: Manual Cloud Operations Don't Scale Using the cloud console (GUI) might seem easy for creating a single resource, but complexity quickly leads to disaster in a production environment. Imagine provisioning a complex three-tier application. This involves setting up the Virtual Private Cloud (VPC), multiple servers (EC2), lo…  ( 8 min )

Laravel Pint is a zero-configuration PHP code style fixer built specifically for Laravel projects. It automatically formats your PHP code to follow consistent styling standards without requiring manual setup or complex configuration files. Pint comes pre-installed with all new Laravel applications (version 9.21 and newer), so you can start using it immediately after creating a project. It works by scanning your PHP files and automatically fixing code style issues based on Laravel's opinionated coding standards. Laravel Pint is built on top of PHP-CS-Fixer, a popular PHP code formatting tool. The key difference is that Pint simplifies the setup process, while PHP-CS-Fixer requires complex configuration files written in PHP, Pint uses simple JSON configuration and works out-of-the-box with s…  ( 9 min )

Chapter 2: Variables, Types, and the Art of Declaration The morning light streaming through the tall windows of the Whitmore Archive had a different quality today—sharper, more purposeful. Ethan arrived precisely at ten, as Eleanor had suggested, carrying two cups of coffee in a cardboard tray. The aroma of single-origin Ethiopian beans preceded him down the stairs. Eleanor looked up from her desk, one eyebrow raised in approval. "Bluestone Lane?" "They remembered you from yesterday," Ethan said, setting her cup down carefully. "The barista said 'the usual for the elegant woman who knows her coffee.'" "I may have been going there since 1994." Eleanor lifted the cup and inhaled. "Perfect. Now sit. Today we learn about identity." Ethan pulled out the spare laptop. "Identity?" "In Go, every…  ( 14 min )

Il m’arrive souvent, entre deux lignes de code, deux features à shipper ou deux idées de startup; de repenser à l’environnement dans lequel j’ai grandi. Un environnement qui, qu’on le veuille ou non, influence profondément notre manière de travailler, de penser, de créer et même de rêver. En RDC, beaucoup de gens ont vécu des situations qu’on aurait du mal à imaginer dans un pays “normal”. Des injustices tellement profondes qu’elles laissent des traces invisibles. Grandir dans ce contexte, ce n’est pas juste vivre. Je vois des jeunes déjà épuisés psychologiquement alors qu’ils n’ont même pas commencé leur vie. Le contraste le plus cruel ? Alors oui, changer sera difficile. Et pourtant, malgré tout ça, il existe une lueur. Peut-être que notre rôle, à nous, c’est d’allumer une lumière. Ce n’est pas un article technique. C’est juste… un rappel. Une pensée. Un morceau de vérité d’un développeur qui code dans un pays où, parfois, rien n’encourage à continuer mais où, paradoxalement, tout nous oblige à ne pas abandonner.  ( 7 min )

Unlocking Sustainable AI Innovation: Monetizing Conversations with Monetzly In a world where AI applications are proliferating, developers face a significant challenge: how to monetize effectively without disrupting user experience. Enter Monetzly, the first dual-earning platform designed specifically for AI conversations. We’re building a three-sided marketplace that connects developers, advertisers, and users, creating win-win-win scenarios for everyone involved. As developers, you know the struggle of implementing monetization strategies without alienating your users. Subscription models and paywalls can deter engagement and undermine the very experience you strive to create. But what if there was a way to generate revenue while enhancing user experience? Monetzly offers a unique sol…  ( 7 min )

Recent FDA inspections at Rubicon Research’s India facilities (Satara and Thane) have highlighted persistent GMP risks that matter to every pharma QA team: documentation gaps, inadequate process controls and validation, weak CAPA and complaint systems, and an increasing emphasis on data integrity and third-party oversight. QA teams should respond by tightening design-of-experiments and validation practices, rebuilding CAPA into a data-driven system, strengthening complaint triage and MDR-like reporting for combination products, and instituting rigorous data governance. Below you’ll find a detailed, actionable report with evidence, trends, and a step-by-step preparedness plan tailored for life-science and pharmaceutical manufacturers. This information is sourced from the Atlas Compliance to…  ( 13 min )

We’re excited to announce a brand-new addition to Angular Material Blocks — introducing Database, a complete website template designed for SaaS products, developer tools, and modern cloud platforms. Database is built with the latest Angular ecosystem: Angular 20 Angular Material 20 Tailwind CSS 4 Zoneless architecture Light & Dark theme support Markdown docs using marked.js Shiki-powered code highlighting SaaS website template showcasing DataBase product with responsive desktop and mobile interfaces highlighting web application features Landing page for a modern database service with usage statistics and pricing information Database pricing page showing three subscription tiers with different features and pricing for Starter, Teams, and Business plans. Changelog is written using Markdown with custom angular components and redered using markedjs! Shiki is the goto highlighter for codes! And it was perfect fit for this template. Whether you’re launching a new SaaS, building a DevTool, or creating documentation for your product, Database gives you a professional, production-ready foundation to ship faster. 👉 Live Preview: https://template-database.angular-material.dev/ https://ui.angular-material.dev/templates#database https://ui.angular-material.dev/ If you have any feedback or need help integrating the template into your Angular project, we’re always happy to help! Happy coding!  ( 6 min )

Imagine it’s 2030. You walk into your home office, grab your coffee, and fire up your IDE. But something’s different. Your coding partner today isn’t just a team member on Zoom—it’s an AI assistant that already understands the project’s architecture, knows the quirks in your codebase, and can suggest optimizations before you even type a single line. It’s not science fiction—it’s a near-future reality that developers are starting to glimpse today. This scenario may sound intimidating to some. Are we edging closer to a world where programmers are obsolete? Will AI really replace human developers in the next decade? Let’s explore what the future of coding actually looks like. Spoiler: It’s not about humans versus machines—it’s about humans working with machines in ways we’ve never seen before…  ( 9 min )

Canada’s digital economy is scaling at an unprecedented velocity, driven by enterprise modernization, startup acceleration, and a surge in mobile-first service delivery across healthcare, fintech, retail, logistics, and public services. As organizations position themselves for 2026, mobile applications have become mission-critical assets—engineered not just as customer touchpoints but as growth enablers, operational engines, and data-intelligence hubs. Yet the fundamental question remains: What will it cost to bring an app to market in Canada next year? Understanding the answer is essential for leaders looking to build investment-ready roadmaps, mitigate development risks, and architect a scalable digital foundation. App development is a multi-layered undertaking. Costs vary based on techn…  ( 9 min )

Most people think running AI coding models locally is confusing, slow, and not worth it—here's the simple playbook for private, fast dev that works ↓ You don't need the cloud to ship faster. You need control, privacy, and zero surprise bills. I learned this after testing seven open models on a normal laptop. Local wins when latency, security, and cost matter. Your code never leaves your machine, so risk drops fast. Tokens are free after setup, so usage can scale without panic. Modern 15B–70B models handle code assist, tests, and docs well. Example. On a 16GB RAM laptop with a 15B model, code completions arrived in 0.9 seconds on average. Unit tests generated in eight seconds per file. We cut review time by 32 percent and saved 400 dollars a month in API fees. Setup took 45 minutes using a container and a GPU driver. ↓ A simple way to get started this week. ↳ Pick a model sized to your hardware, start with 7B–15B if you have a single 8–12GB GPU. ↳ Use a local server like Ollama or LM Studio to run and manage models. ↳ Connect your IDE through an API or extension for inline suggestions. ↳ Cache prompts, pre-load repos, and run the model in 4-bit to boost speed. ↳ Track latency and acceptance rate so you improve what actually matters. Expect instant responses, predictable costs, and fewer red flags from security. Your team ships faster because feedback loops shrink to seconds. What's stopping you from going local for coding today?  ( 7 min )

# Disclaimer: Úsalo solo en entornos que controles o tengas permiso explícito. Ya sabes, ética y esas cosas aburridas pero necesarias. ¿Por Qué Nim? (Y Por Qué Deberías Prestarle Atención) Probablemente estés pensando: "¿Nim? ¿No es ese lenguaje que nadie usa?". Bueno, sí y no. En el mundo del red teaming, Nim se está convirtiendo en el chico cool del barrio por varias razones: Binarios pequeños: Tu implant no pesará como si estuvieras distribuyendo Node.js Sintaxis agradable: Es como Python pero que compila a C, dándote lo mejor de ambos mundos Evasión de AV: Los antivirus están entrenados para detectar C#, PowerShell, y Python. Nim todavía vuela bajo el radar Interoperabilidad con C: Puedes llamar a las APIs de Windows sin venderte el alma al diablo Así que sí, v…  ( 10 min )

Why the Next Unicorns Will Be Built With 5 People and AI Jaideep Parashar ・ Nov 25 #ai #productivity #performance #devops  ( 7 min )

This post breaks down how we deploy TensorFlow Lite Micro (TFLM) on ESP32-S3 to run real-time wake word detection and other edge-AI workloads. ESP32-S3 brings a useful combination of: Xtensa LX7 dual-core @ 240 MHz Vector acceleration for DSP/NN ops 512 KB SRAM + PSRAM options I2S, SPI, ADC, UART Wi-Fi + BLE It’s powerful enough to run quantized CNNs for audio, IMU, and multimodal workloads while staying power-efficient. 1. Audio front-end I2S MEMS microphones (INMP441 / SPH0645 / MSM261S4030) 16 kHz / 16-bit / mono 40 ms frames (~640 samples) Preprocessing steps: High-pass filter Pre-emphasis Windowing (Hamming) VAD (optional) ESP-DSP supports optimized FFT, DCT, and filtering primitives. 2. Feature extraction (MFCC) FFT Mel filter banks Log scaling DCT → 10–13 coefficients On ESP32-S3, M…  ( 7 min )

We’re entering a new era of company building, one that doesn’t look anything like the venture-funded, 200-person startup model of the past decade. The next generation of billion-dollar companies won’t be built in glass offices, with huge teams, layers of management, and complex org charts. They will be built by 5 people and AI. This isn’t a slogan. Let me explain why this shift is happening, and why it’s inevitable. 1. AI Has Collapsed the Cost of Building Products Ten years ago you needed: frontend engineers backend engineers DevOps QA testers ML engineers data engineers designers content writers marketers Today, a 5-person team with AI can: design the entire product build the full stack generate content run customer support run marketing automate operations test features optimize workflo…  ( 11 min )

Imagine crafting materials with properties so exotic, they redefine what's possible. Think invisibility cloaks, energy sources beyond our wildest dreams, or ultra-fast processors operating at the speed of light. The problem? Designing structures at the nanoscale is incredibly complex and computationally expensive. Enter the nanophotonic foundation model. This is where AI takes the reins, learning the intricate relationship between a material's atomic structure and its resulting optical properties. It's like giving a supercomputer the keys to the materials science lab, allowing it to predict and design with unprecedented speed and accuracy. Essentially, we've built an AI that understands the 'language' of light and matter. By training it on a massive dataset of nanostructures and their opti…  ( 7 min )

Many people hear “AI” and instantly think of ChatGPT. AI: The Big Umbrella Let’s start from the top. Artificial Intelligence is the broadest term. AI includes many subfields: • Machine Learning • Deep Learning • Computer Vision • Natural Language Processing • Robotics • Expert systems ML: The Engine Behind Most “Old AI” Before ChatGPT, the AI powering our world was mostly Machine Learning. ML is simply this: Models learn patterns from data and make predictions — without being explicitly programmed. For almost 20 years, ML quietly powered: And here’s the interesting part: They were mathematical prediction systems: This was the AI that shaped the modern internet long before LLMs arrived. LLMs: The New Evolution of AI This changed everything. Suddenly, AI could: This is where LLMs (Large Language Models) came in. LLMs like ChatGPT, Claude, Gemini, and Llama aren’t just tools, they’re a new category of AI entirely. In short: ML predicted. The Whole Relationship: AI is the field. ML is a major branch inside AI. LLMs are one specific type of ML model focused on language  ( 7 min )

Tableau has consistently been recognized as one of the world’s leading Business Intelligence (BI) and data visualization tools. It has been named a Leader in Gartner’s Magic Quadrant for Analytics and BI Platforms for six consecutive years, and for good reason. Tableau allows anyone—from business users to data analysts—to create interactive, high-impact visualizations with effortless drag-and-drop actions. Most analysis in Tableau doesn’t require coding at all, and even complex transformations can be built with its powerful calculation engine. Understanding Tableau–R Integration How to Integrate Tableau and R Step 1: Run R and Load the Rserve Library This starts the Rserve engine on your machine. Step 2: Connect Tableau to R Step 3: Load Data into Tableau Step 4: Run R Script Through a Cal…  ( 9 min )

JavaScript Clean Code Mastery: Part 7 - Real-World Refactoring and Tools (Series Finale!) We Made It! The Final Chapter Over the past 6 parts, we've transformed how you write JavaScript: Part 1: Meaningful names and variables Part 2: Clean functions Part 3: Modern JavaScript features Part 4: Async/await and error handling Part 5: Array methods and immutability Part 6: Code structure and logic flow Today, we're bringing it all together with a complete real-world refactoring and the tools that enforce clean code automatically. Today's Mission: Refactor a messy shopping cart from scratch Set up ESLint for automatic error detection Configure Prettier for consistent formatting Add Husky pre-commit hooks Test clean code Your clean code action plan Let's finish strong! // cart.js - A…  ( 12 min )

A practical guide to lazy regex compilation, efficient string manipulation, publishing production-ready Rust crates, and how I discovered that building a Rust and Regex based code library can actually be even more frustrating that it sounded initially - so hopefully my tears will fuel your dev joy. If I wasn't already bald, the last 5 years of wrangling integrations with AI LLM build outs would have ensured that my trips to the barber were no longer needed. Topping my list of frustrations has been those annoying and ever present AI generated citations. It's gotten to the point that now I picture them smirking as they send me back the response, their GPUs powered by the anger and stress they have figured out how to extract from my 2am rants each time I read their 'reasoning' literally readi…  ( 14 min )

Daily Tech News Roundup Today's tech headlines cover everything from the evolving gig economy in India to the latest advancements in AI and even a potential shift in device interaction. We'll also touch on rising RAM prices and the latest shopping feature from ChatGPT. Let's dive into the top stories. India's Gig Workers Gain Legal Recognition India's gig economy is undergoing a significant transformation with new labor laws granting gig workers legal status. While this is a step in the right direction, access to crucial social security benefits remains a challenge. The implementation and expansion of these benefits will be critical for the long-term well-being of India's growing gig workforce. Source Find the Best Noise-Canceling Headphones Looking for some peace and quiet? The Verge has …  ( 7 min )

So, you're wondering if a chatbot can handle multiple languages? It's a pretty common question these days, especially with businesses trying to reach folks all over the globe. Think about it, if your customers speak Spanish, or French, or Japanese, you want your bot to be able to chat with them without a hitch, right? It's not just about translating words; it's about making people feel understood. We're going to look at how these bots work and what makes them good at talking in different tongues. Chatbots can indeed handle multiple languages, making global customer interaction much easier. Implementing multilingual support involves strategies like training a single bot for various languages or using AI for cross-language communication. Effective multilingual chatbots need strong Natural La…  ( 18 min )

If you're still coding the old way, you're falling behind. Let me show you Cursor AI 2.0 - the tool that's revolutionizing how developers write code. Cursor is an AI-powered code editor built on VS Code. But it's not just another code assistant - it's like having a senior developer sitting next to you 24/7. Cursor 2.0 ships with Composer, a purpose-built coding model that understands your entire codebase, not just the current file. Spin up multiple AI agents that work on separate branches simultaneously. Imagine having AI pair programmers in isolated environments opening PRs for you! The agent can interact with a real browser to: Compare your app to reference screenshots Capture console errors and network traces Debug UI issues automatically Before diving into code, Cursor asks clarifying questions and creates a structured plan. No more "vibes-only" coding. Find and fix bugs directly in the editor. It analyzes your changes and surfaces issues before you push. # Download from cursor.com # It's built on VS Code, so your extensions work! Developers who want to ship faster Teams working on complex codebases Anyone tired of context-switching between docs and code Free tier: Great for trying it out Pro ($20/month): Unlimited Tab completions + $20 frontier model credits Download: cursor.com Drop a comment if you've tried Cursor - I'd love to hear your experience! Follow me for more AI tools that boost developer productivity.  ( 7 min )

Welcome to the Final Stretch! In Part 5, we mastered arrays and immutability. Today, we're tackling the structure that makes code easy or impossible to read: logic flow and conditional statements. I once debugged a function with 8 levels of nested if-else blocks. Eight levels. Tracing through the logic felt like navigating a maze blindfolded. Refactoring it with guard clauses cut nesting from 8 levels to 2—and made the bug obvious. Today's Mission: Use guard clauses to reduce nesting Write early returns for clarity Avoid deep if-else pyramids Make code self-documenting Eliminate unnecessary complexity Let's flatten your logic and make it crystal clear. The Problem: Deep nesting makes code hard to follow. function processPayment(user, amount) { if (user) { if (user.isActive) { …  ( 11 min )

With generative AI and coding agents, we're producing code at unprecedented speed while accumulating dependencies to match. Evidence now shows AI doesn't just suggest dependencies: it hallucinates ones that don't exist. In this case, a package called "huggingface-cli" was downloaded thousands of times, including by teams at Alibaba, before anyone realized it was completely fictitious. Each hallucinated package name becomes a supply chain vulnerability waiting to be exploited, with attackers racing to register them before developers discover the mistake. But hallucinations are just one risk in this acceleration of code generation. Even with legitimate packages, the speed creates problems. In the past, platform and security teams could influence dependency choices through documentation, appr…  ( 8 min )

Welcome Back, Code Cleaners! In Part 4, we conquered async/await and error handling. Today, we're tackling something that separates junior developers from senior developers: mastering array methods and immutability. I once reviewed code with 47 for-loops. Forty. Seven. The file was 800 lines of nested loops, mutated arrays, and index tracking variables. Refactoring it with array methods cut it down to 200 lines—75% less code that was 10x more readable. Today's Mission: Replace loops with map, filter, reduce Master immutable array operations Avoid mutation bugs Chain array methods elegantly Know when NOT to use array methods Let's transform your loops into clean, declarative code. The Problem: Manual loops for transforming data are verbose and error-prone. const users = [ { name: 'alice…  ( 14 min )

You can debug complex distributed systems. You've optimized algorithms to run in O(log n) time. You understand how neural networks train on backpropagation. But your resume keeps getting rejected before it reaches a human reviewer. Here's the frustrating reality: 75% of large tech companies use Applicant Tracking Systems (ATS), and up to 80% of resumes get filtered out before a recruiter ever sees them. Your technical brilliance doesn't matter if your resume can't pass the keyword filter. The problem isn't your skills. It's that you're optimizing for the wrong system. Most developers treat their resume like documentation- comprehensive, technically precise, focused on implementation details. But Applicant Tracking Systems and recruiters are looking for something different. This guide shows…  ( 16 min )

Everything Wrong With The Wiz In 15 Minutes Or Less is CinemaSins’ latest snarky deep-dive into the 1978 take on Oz, timed to ride the buzz of Wicked’s theatrical return. In just 15 minutes they rip through plot holes, nitpicks and “sinful” moments, all wrapped up in the channel’s trademark humor. They also drop links to their main site, YouTube spinoffs (TVSins, Commercial Sins, Podcast Network), a sinful poll, Patreon support and a roundup of the writing team. Plus, there’s Discord, Reddit, Instagram and TikTok invites so you can get even more Cinemasins content. Watch on YouTube  ( 6 min )

はじめに 正直に言うと、APIテストを書くのは地味に手間がかかります。 そんなとき、「ApidogでAIがテストケースを自動生成できる」と聞いて、 Apidogは、APIの設計・ドキュメント・テスト・モック・管理をひとつのプラットフォームで完結できるオールインワンのAPI開発ツールです。 Postman、Swagger Editor、Mockサーバー、APIテストなど 最近はAIによるテストケース自動生成にも対応し、テスト設計の初稿づくりを大幅に効率化できます。 手動でテストケースを作成するとき、いつもこんな悩みに直面していました： 網羅性を確保するのが難しい 仕様変更があるたびに更新が必要 チームによって粒度や書き方がバラつく 特に異常系や境界値を漏らしやすい 「AIが初稿を作ってくれるなら、この負担が軽くなるかも」と思ったのが使い始めたきっかけです。 APIを定義したあとに 「テストケース」タブ を開くと、中央付近に 「AIで生成」 ボタンがあります。 クリックすると、次の画面で生成したいテストタイプを選べます： 正常系 異常系 境界値 セキュリティ 一括生成も、必要な種類だけを選択して生成も可能です。 採用／破棄 を選んで最終調整します。 テストレポートをエクスポートしてチームで共有することもできます。 ちょっとしたポイント 生成後は必ずレビューする（誤解・抜け漏れ防止） 生成精度は使うAIモデルの性能に依存 AI機能は初回のみ有効化が必要 特に異常系や境界値は完全ではないので手動補完が必要 Apidog自体はAIモデルを提供していません。 OpenAIやClaudeなど任意のAIモデルのAPIキーを設定する必要があります。 ここで重要なのは、AIが生成するテストケースの精度はモデルの性能によって決まる ということです。 生成内容はあくまで下書き そのまま流すのではなく、レビューして業務ロジックに合わせて微調整します。 時間を大幅に節約できる 数分で十数件の初稿が出るので、ゼロから手で書くより効率的です。 実務向きだが万能ではない 特にビジネスロジック依存のケースは、AIだけでは完全にはカバーできません。 プロジェクト初期や大規模変更時にAIで初稿を作る コアロジックや重要なパスは手動で補完 レビューと調整でテスト品質を確保 CI/CDに統合して、生成したケースを継続的に利用 今回の体験で感じたのは、AIに丸投げするのではなく、AIと協力してテストを作る ということです。 AIが下書きを作ってくれることで、 テストの質とスピードがどちらも向上しました。 忙しい開発者ほど、 一度AI生成で試してみる価値は十分にあると実感しました。 この記事が役に立ったら、ぜひシェアしてください。 質問やコメントがあれば、お気軽にどうぞ。 https://docs.apidog.com/jp/apidog%E3%81%AEai%E6%A9%9F%E8%83%BD%E6%A6%82%E8%A6%81-1237382m0 https://docs.apidog.com/jp/%E3%83%86%E3%82%B9%E3%83%88%E3%82%B1%E3%83%BC%E3%82%B9%E3%81%AE%E8%87%AA%E5%8B%95%E7%94%9F%E6%88%90-1625320m0  ( 6 min )

「え、これマジ？」AIとAPIの融合で開発が激変する瞬間 みなさん、こんにちは！最近、開発現場でAIの波が押し寄せてきてますよね。私も昨日までは「AIなんて、まだまだ実用レベルじゃないでしょ」なんて思ってたんですが...衝撃的な体験をしてしまいました。それが今日お話しする「Apidog MCPサーバー」との出会いです。 いま、ソフトウェア開発の世界は大きな転換点に立っています。AIが私たちのコーディング方法を根本から変えようとしているんです。その中でも特に注目すべきなのが「モデルコンテキストプロトコル（MCP）」。これ、マジですごいんですよ！ MCPって何かというと、AIコーディングアシスタントと外部知識ソースをスマートに繋ぐ革新的な技術なんです。ちょっと難しく聞こえるかもしれませんが、簡単に言うと「AIに必要な情報をピンポイントで与えられる仕組み」です。 従来のAIは訓練データの範囲内でしか答えられませんでしたが、MCPを使えば、AIが外部アプリから専門情報に直接アクセスして、それを理解して活用できるようになるんです。これにより、特定の開発タスクでAIの精度と効率が劇的に向上します！ 先週、チームのAPIドキュメント管理に頭を抱えていた私。複雑なエンドポイントの実装で、仕様書とコードを行ったり来たりする日々...。そんな時、先輩から「Apidog MCPサーバー使ってみたら？」と声をかけられたんです。 Apidogが開発したこのMCPサーバーは、API開発に特化した実装なんです。これがすごい！API仕様とAIコーディングアシスタントの間に直接的な橋を架けて、開発者が「バイブコーディング(Vibe coding)」と呼ばれるフロー状態に入れるようにしてくれます。 「バイブコーディング(Vibe coding)」って何？って思いますよね。これは、あなたが創造的な問題解決に…  ( 6 min )

The rise of AI powered search engines. Which one really comes out on top in 2025. Search is changing pretty quickly these days. People are shifting from chasing keywords and clicking through those old blue links. They want direct answers right away. Summaries help too. Insights make sense. Citations add trust. Even full research reports show up now. I took the last few weeks to try out the big names in AI first search engines. These are not just chatbots. They mix AI thinking with actual indexed results from the web. Some things really caught my eye. Perplexity stands as the most solid player in AI search at the moment. It runs fast. Answers feel accurate. Citations back everything up. This setup works great for quick overviews. Fact checks come easy. It struggles a bit with multi step t…  ( 8 min )

LinkedIn Post I'm writing a book: "The Agent Paradigm" After building AI agents for the past 2 years, I realized something: Most developers are learning agents wrong. They jump into frameworks. Copy code from tutorials. Build demos that break in production. But nobody explains the paradigm shift that's actually happening. The full chapter list: 0: The Automation Story 1: The Paradigm Shift 2: The Agent Loop 3: Prompts & Instructions 4: Tools 5: Context Engineering 6: Events & Plugins 7: Multi-Agent Systems 8: Trust & Safety 9: ML & Model Development 10: Evaluation & Error Handling 11: Deployment 12: Design Principles 13: The Future Each chapter covers: → What problem it solves → How different approaches handle it → Landscape analysis (companies, trends) → Concrete opportunities Who it's for: Developers who want to understand agents deeply Founders evaluating the agent space Investors spotting real opportunities vs. hype I need your help: Which chapter do you want me to finish first? Comment below with the chapter number (0-13), and I'll prioritize based on what you want to read. Follow along: → Docs: https://docs.connectonion.com → GitHub: https://github.com/connectonion/connectonion → Discord: https://discord.gg/4xfD9k8AUF AIAgents #LLM #ArtificialIntelligence #SoftwareEngineering #Startups  ( 6 min )

Originally published at https://www.nocobase.com/en/blog/a-developers-technical-decision-guide-to-no-code-and-low-code For years, low code and no code tools have been dismissed as something “meant for non-developers.” Today, as these platforms grow more capable — with data modeling, permission systems, and plugin-based extensions — and as AI advances at an explosive pace, we are entering a new technological moment. AI is taking over repetitive coding faster than ever. 💡 Read More: Top 20 Open Source AI Projects with the Most GitHub Stars LLM are becoming junior-level code generators, able to produce components and basic logic directly. In this landscape, low code and no code platforms are no longer simple drag-and-drop builders. They have become structured, governable interfaces for colla…  ( 10 min )

In design thinking, understanding users is always the foundation of creating meaningful products! From the very first stages, UX researchers rely on interviews, observations, and data analysis to uncover what users need and why they behave in a certain way.  However, as digital products grow more complex and user expectations continue to rise, the research process has become heavier. Teams now face the challenge of processing large volumes of data to understand user needs and uncover meaningful patterns. This is where AI is beginning to reshape the workflow. Instead of spending hours sorting feedback or identifying patterns manually, AI helps teams analyze data faster, reveal deeper insights, and focus more on strategic decision-making. In this blog, we’ll explore how to use AI tools for U…  ( 14 min )

Overview By migrating our email system's search functionality from traditional LIKE queries to PostgreSQL's full-text search, we achieved up to 71% performance improvement. This article details the implementation approach using GIN indexes and tsvector for 260,000 existing records, along with a non-blocking migration strategy. PostgreSQL (Full-Text Search) Prisma ORM TypeScript tsvector / GIN Index websearch_to_tsquery() Initially, the email search feature was implemented using simple LIKE queries: // Traditional LIKE search (simplified) const emails = await prisma.email.findMany({ where: { OR: [ { subject: { contains: keyword } }, { fromName: { contains: keyword } }, { bodyText: { contains: keyword } } ] } }); However, as data volume exceeded 260,000 recor…  ( 12 min )

Redis has become a foundational component in modern software systems. Whether you are building high-traffic web applications, real-time analytics, distributed systems, or simple caching layers, Redis consistently stands out for one reason: speed. In this article, we will explore Redis from the ground up—its architecture, data structures, use cases, persistence options, scalability, and best practices. By the end, you will understand why Redis is one of the most trusted technologies in production environments around the world. Redis (REmote DIctionary Server) is an in-memory key–value data store that supports powerful data structures and extremely low-latency operations. Unlike traditional databases that rely heavily on disk I/O, Redis keeps data in RAM, making it exceptionally fast. Redis …  ( 8 min )

How We Built Ad Injection That Users Actually Appreciate: Meet Monetzly In the fast-paced world of AI application development, monetization often feels like a daunting challenge. Developers want to focus on creating innovative solutions, but the pressure to generate revenue can lead to disruptive user experiences. Enter Monetzly—the first platform where developers can both monetize their AI apps and earn from hosting relevant ads, all while maintaining a seamless user experience. As AI applications explode in popularity, many developers find themselves asking: How can I monetize my app without compromising the user experience? Traditional methods, like subscriptions or paywalls, can alienate users, leading to higher churn rates. At Monetzly, we’ve engineered a dual-earning platform tha…  ( 7 min )

Organizations adopting LLMs at scale often struggle with fragmented API usage, inconsistent authentication methods, and lack of visibility across teams. Tools like Gemini CLI make local development easier, but they also introduce governance challenges—especially when authentication silently bypasses centralized gateways. In this article, I walk through how to route Gemini CLI traffic through LiteLLM Proxy, explain why this configuration matters for enterprise environments, and highlight key operational considerations learned from hands-on testing. Before diving into configuration, it’s worth clarifying why an LLM gateway is needed in the first place. If developers run Gemini CLI with default settings: Authentication may fall back to Google Account login → usage disappears from organization…  ( 8 min )

AI's impact on white-collar jobs and layoffs is reshaping office life in palpable ways. Picture an open plan office where rows of cubicles blur into streams of code and dashboards. Algorithms flag redundant tasks and digital assistants draft reports in seconds. As a result, middle-management spreadsheets shrink and hiring plans face harsh review. Many knowledge workers now share their schedules with chatbots and automation routines. However, this shift does not erase human judgment or creativity. Instead, teams reorganize around strategy, empathy, and complex problem solving. Because AI handles data-heavy chores, roles focused on nuance gain value. But layoffs follow where firms chase efficiency without reskilling staff. Therefore managers must act quickly to retrain employees and redesign…  ( 15 min )

HTTP vs HTTPS vs TCP vs UDP: Finally Understand The Difference! 🏗️ If you've ever felt confused about these four acronyms that rule the internet, you're not alone. Most explanations get stuck in technical jargon, but today I'll give you a mental model that will make everything click forever. Here's the analogy that changes everything: This is the TRANSPORT LAYER - it decides HOW data moves between systems. TCP = Moving Truck (reliable, ordered, confirms delivery) UDP = Bike Messenger (fast, no guarantees, fire-and-forget) Why it comes first: Everything else gets built on top of this foundation. This is the APPLICATION LAYER - it defines WHAT the data means and how applications talk. HTTP = Open Floor Plan (everything visible, no security) HTTPS = Fortified Rooms (encrypted, secure, auth…  ( 8 min )

Look at this bad boy I cooked up to extract a folder location from an error handling XD def extract_cwd(data): import re match = re.search(r'File "(.*?\.py)", line \d+, in ', data) if match: print(f"Current Working Directory (CWD): {match.group(1)}") else: print("CWD not found in the traceback string.") try: crash except Exception as e: from traceback import format_exc extract_cwd(format_exc()) # Output - :> Current Working Directory (CWD): path/to/script I also made a smaller version using subprocess, just change cd to pwd if on linux def extract(): from subprocess import run return run("cd", shell=True, check=True, capture_output=True, text=True, encoding='utf-8') That is all, thanks for tuning in.  ( 6 min )

Sometimes it feels like building software isn’t the hard part — rebuilding the same integrations over and over is. Every time I started a new project, I found myself: Searching for the same API docs Copy-pasting an old webhook handler Debugging the same auth flow Fixing missing env variables Rewriting the same config boilerplate None of it moved the project forward. It was just the tax you paid before the real work began. So I asked myself: "Why isn't there a reusable, production-ready playground of integrations for Next.js?" There wasn’t — so I built one. One place to grab verified real-world integrations Webhooks already implemented and tested Verified auth flows TypeScript-first patterns Examples that matched how modern Next.js apps are built Not tutorials. Not copy-paste snippets. Actual working building blocks. That’s what became Integrate API — a toolkit plus a Chrome extension that helps you ship integrations fast, without guessing. It now includes integrations for: Stripe Supabase SendGrid Liveblocks Meilisearch UploadThing And 10 more This saves time — and honestly sanity. If you're curious: 👉 https://integrateapi.io Would you want a feature like "generate integration per project type"? I’m exploring it — curious what devs think.  ( 6 min )

=intSum =doubleSum =toString =toInteger =toLong =toDouble =toBoolean =size =join =substring =abs, =ceil, =floor =divide, =multiply, =minus =toTimestamp =formatTimestamp These functions work only inside modify-overwrite-beta or modify-default-beta operations. 1. JOLT Modify Operations Overview There are two modify operations: 1. modify-overwrite-beta Replaces the existing value Can use functions (=intSum, =multiply, etc.) Used for math/string/date transformations 2. modify-default-beta Only sets value if missing Good for default initialization How to use functions? Syntax: "fieldName": "=functionName(arg1, arg2, ...)" Arguments can be: Literal values JSON values referenced via @(n,key) Other function outputs 2. MATH FUNCTIONS -------------------------------------- …  ( 8 min )

技術ブログにMermaidダイアグラムを導入した話【はてなブログ・DEV.to・Next.js対応】 はじめに 技術記事を書く時、フローチャートやシーケンス図があると格段に分かりやすくなりますよね。 今回、マルチプラットフォーム対応の技術ブログでMermaid記法によるダイアグラム表示に対応したので、その実装方法を紹介します！ 対応したプラットフォーム： 📝 はてなブログ - カスタムJavaScriptで対応 🌐 DEV.to - Mermaidを画像に変換して投稿 ⚡ Next.js（Vercel） - クライアントサイドレンダリング Mermaidは、テキストベースでダイアグラムを描けるJavaScriptライブラリです。 記述例: graph TD A[ユーザー] -->|記事を書く| B[Markdown] B -->|変換| C[Mermaid] C -->|レンダリング| D[ダイアグラム表示] シンプルなテキストで、こんな感じの図が描けます。めっちゃ便利！ はてなブログは標準でMermaidをサポートしていないため、カスタムJavaScriptで対応しました。 1) はてなブログの管理画面で「設定」→「詳細設定」を開く 2) 「headに要素を追加」に以下を貼り付け: .mermaid { background-color: #ffffff !important; padding: 20px; border-radius: 4px; margin: 20px 0; } .mermaid svg { background-color: #ffffff !important; …  ( 7 min )

The story of modern frontend frameworks has always revolved around change — how to detect it, represent it, and respond to it efficiently. React built its entire philosophy on a simple but powerful assumption: Changes in data and component state are unpredictable. To cope with this uncertainty, React introduced the Virtual DOM — But this design, while revolutionary in 2013, also came with a price. So here’s a question worth asking: What if that assumption was wrong? That’s the core idea behind Signals and Fine-grained Reactivity — This philosophy echoes what Ryan Carniato, the creator of Solid.js, often calls “reactivity without illusion.” In this 30-part series, we’ll dive deep into the mechanics, architecture, and design philosophy of Signals and fine-grained reactivity. Along the way, we’ll compare how frameworks like React, Vue, and Solid handle reactivity differently, This series is inspired by my open-source project, segnale-react, By the end of this journey, you’ll understand not just how Signals work, The next article begins right at the core — Stay tuned.  ( 7 min )

1. REAL-WORLD JOLT PATTERNS These patterns cover 95% of JSON transformation tasks. Flattening deep JSON into simple key/value JSON Input { "user": { "profile": { "name": "Alice", "age": 30 }, "address": { "city": "Dhaka", "zip": "1000" } } } Spec [ { "operation": "shift", "spec": { "user": { "profile": { "name": "name", "age": "age" }, "address": { "city": "city", "zip": "zip" } } } } ] Output { "name": "Alice", "age": 30, "city": "Dhaka", "zip": "1000" } Flatten unknown dynamic keys Input { "env": { "JAVA_HOME": "/opt/java", "PATH": "/bin:/usr/bin", "USER": "root" } } Spec …  ( 9 min )

Forget the hype train. If you want to create videos that actually tell a story, you need to stop waiting for Sora and start using Textideo. I have a confession to make. For the last six months, I’ve been suffering from "AI Fatigue." You know the feeling. Every morning, you open X (formerly Twitter) and see another mind-blowing demo. An astronaut swimming in coffee. A cinematic drone shot of a cyberpunk Tokyo. It looks incredible. It looks like the future. But when I actually tried to use these tools for my work, I hit a wall. I’m a content creator. I don’t need a 3-second clip of a cat flying a plane. I need to explain complex concepts. I need to visualize articles. I need narrative flow. When I tried to use the industry giants (you know the ones: Runway, Pika, the Luma Dream Machine), I…  ( 9 min )

CSS has come a long way from being a simple tool for styling text and backgrounds. Today, it’s a powerful language that supports built-in functions, allowing you to perform calculations, reuse values, manipulate colors, and even adapt designs based on context — all without JavaScript. In this post, let’s explore some of the most useful CSS functions and how they can transform the way you write styles. Just as functions in programming languages make code more dynamic, CSS functions let you generate and compute values on the fly. They can: Keep styles flexible and responsive Eliminate repetitive hard-coded values Enable theme switching and runtime adjustments Improve maintainability by avoiding “magic numbers” The calc() function allows arithmetic operations (+, -, *, /) directly in CSS. css…  ( 8 min )

As developers, we’re no strangers to the tradeoffs between 3D reconstruction quality, speed, and accessibility. For years, creating usable 3D assets required either expensive LiDAR hardware, complex multi-camera setups, or hours of manual touch-ups in Blender. But Meta’s sam3d is changing the game—let’s break down how this open-source tool turns a single RGB photo into high-fidelity 3D models, and why it’s a must-have for your next project. sam3d leverages two game-changing innovations: sam3d.world) to share tips, troubleshoot with fellow devs, and contribute to the open-source project. sam3d isn’t just advancing 3D reconstruction—it’s democratizing it. For developers tired of compromising on accuracy or accessibility, this tool opens up a world of possibilities—all from a single image. Have you tested sam3d yet? Share your project ideas in the comments, or tag a teammate who needs this in their toolkit! showdev #3d #ai #opensource #webdev #metaaiprojects  ( 7 min )

The horse half died by the time we came off the highland. That's why I don't name my horses. My boots had holes. My six was dry. Nothing in my pockets but metadata. What's a guy gotta do to get a drink in this town? Metadata is the wild west. A great example that goes beyond data is tags. A lot of you have probably noticed in AWS that tags are amazing. Amazingly hard to use well for any sizable project, let alone the enterprise. Same with the other cloud providers. Metadata is supposed to drive everything, ideally from metadata catalogs. But just you try figuring out how to capture consistent metadata across all your systems automatically so that they are up to date and consistent. Then you sit back and think, ok, I got that, so now what should I capture and how should I use it and how d…  ( 10 min )

AWS CDK Development: Best Practices and Workflow In the previous parts of this series, we covered Part1: AWS CDK fundamentals and Part2: components and commands. Now, let's explore how to structure your CDK projects effectively and implement best practices that will help you build maintainable infrastructure code. The typical AWS CDK development workflow follows these steps: Initialize a project with cdk init Edit the App definition to define your stacks Create stack definitions with the resources you need Write tests for your infrastructure code For the first deployment: Run cdk bootstrap to prepare your AWS environment Execute cdk deploy to deploy your resources For subsequent deployments: (Optional) Run cdk diff to check for changes Execute cdk deploy to update your resources Le…  ( 13 min )

Erase and Rewind: Surgically Removing Bias from AI Models Imagine your groundbreaking AI, trained on a massive dataset, suddenly exhibits unwanted biases – perhaps discriminating against a specific demographic. Retraining from scratch is a time-consuming and expensive nightmare. But what if you could surgically remove the problematic data's influence, leaving the rest of your model intact? The key is understanding how that specific data subtly warped the model's learning landscape. Geometric-Disentanglement Unlearning (GDU) is a technique that treats model updates as movements in a high-dimensional space. The core idea is to decompose the desired "forgetting" update into two components: one that affects the retained knowledge and one that doesn't. We surgically apply only the component o…  ( 7 min )

After receiving the Top Docker Author badge last week for my Offline AI post (thanks everyone! 🙏), many of you asked about my workflow for hardware and vehicle networks. So today, I'm switching gears from AI to Heavy Duty Vehicles. If you work with CAN Bus or SAE J1939 (Trucks, Buses, Machinery), you know the pain: Professional tools are expensive: A Vector CANalyzer license costs thousands of dollars. Hex dumps are unreadable: Seeing 18FEF100 means nothing unless you memorize the J1939 spec. Hardware dependency: You usually need a physical adapter (PCAN, Kvaser) just to test your code. To solve this, I built a Python-based J1939 Sniffer that decodes PGNs automatically and includes a Simulation Mode for hardware-free development. Standard CAN (11-bit) is simple. But J1939 uses 29-bit E…  ( 7 min )

Unlocking Sustainable AI Innovation: Monetize Your AI Conversations with Monetzly In a world where AI applications are multiplying at an astonishing rate, developers face a common challenge: how to monetize these innovations without disrupting user experience. What if there was a way to not only monetize your app but also earn revenue by hosting relevant ads? Welcome to Monetzly—the Google Ads for AI Conversations! Monetzly is designed to create a win-win-win scenario for developers, advertisers, and users. By establishing a three-sided marketplace, we connect developers who build AI-powered applications, advertisers seeking engaged audiences, and users who benefit from a more personalized experience. This unique approach ensures that everyone involved can thrive. One of the standout fea…  ( 7 min )

App URL: https://webfoundry.app/ (no account creation necessary) So this is my visual app builder Webfoundry, I used it to create a handful web apps including MEATEOR, the P2P Grindr alternative I posted about here: https://dev.to/guiprav2/a-completely-p2p-grindr-alternative-i-built-in-a-weekend-no-servers-no-accounts-webrtc-trystero-8dp This demo shows how the voice assistant is able to call GPT 5.1 Codex to generate beautiful HTML elements for your page on-demand based on voice specs. Other than that, Webfoundry has the following features: Fully Tailwind CSS-based design. WYSIWYG allows you to edit the actual HTML DOM visually; there's no vDOM and so it plays nicely with vanilla JS libraries, even jQuery, etc. Total JavaScript control with simple state management much unlike the horrors of React and others. Fully P2P realtime live collaboration both in the visual editor and the built-in code text editor. 2-click Netlify deployments right from the app. A few of bugs I've been procrastinating on fixing lately... Soon: Export app as a Windows/Linux desktop or Android Tauri application. It's hard to use at first but the learning curve is honestly not that steep, I'm willing to demo and handhold anyone interested in trying this out over a video call! Cheers! Gui  ( 6 min )

Nicole Forsgren just dropped a new book, and I absolutely CONSUMED it. It's called Frictionless: seven steps to help engineering teams move faster in the age of AI. Forsgren created DORA. She created SPACE. She wrote Accelerate, the book that fundamentally changed how we measure engineering performance. When Forsgren talks about engineering velocity, you listen. And, I hope I'm not oversimplifying, but my biggest take away is that "Most productivity metrics are systematically misleading." Lines of code? Blown away by AI. Deployment frequency? Useful for assessing pipeline health, but disconnected from whether your team is building the right things. Her three pillars of developer experience: And this resonates with me deeply. But I keep returning to one question. Where are the data engineer…  ( 11 min )

Even in the age of powerful IDEs, developers still live in the terminal. After a few years, everyone collects a bag of tricks—some painful lessons, some tiny optimizations—that quietly 2x your speed. This article skips the ls -la basics and goes straight to battle-tested commands and habits that genuinely changed my workflow (and made nearby teammates lean over and say: “You did what with just one command?”). When your server or laptop suddenly feels like it’s running in molasses, you need quick visibility: who’s hogging disk, CPU, or RAM? Top 10 space hogs in the current directory (one level deep) du -ah --max-depth=1 | sort -rh | head -n 10 Top 10 processes by CPU usage ps aux --sort=-%cpu | head -n 11 Top 10 processes by memory usage ps aux --sort=-%mem | head -n 11 This trio gives …  ( 10 min )

Hey all, Yesterday I had an idea: You know how LLM completions work, right? You pass in the model name, an array of messages, and optionally a list of tools and make a fetch request. So I thought, what if I put that in a loop where every tool call could return a completely new configuration for the request? It works like this. Note there are two configurations: xai and oai. xai is instructed to play dumb and try to answer 42, oai is instructed to write haikus. xai is only promoted to oai once it gets the right answer. import complete from './complete.js'; let tap = x => (console.log(x), x); async function looptools(init) { while (true) { let res = await complete(init.logs, { ...init, logs: undefined }); let tools = [...Object.entries(res.tools || {})]; if (tools.length && t…  ( 7 min )

Unlocking Elite Performance: The 7 Principles of Inner Excellence In the high-pressure world of sports and beyond, mental toughness is the key to unlocking elite performance. For decades, coaches and athletes have sought the secret to staying calm under fire, mastering pressure, and achieving greatness. Enter Jim Murphy, a top performance coach who has spent years studying the minds of champions and developing a proven system for achieving inner excellence. Murphy's groundbreaking book, Inner Excellence, shot to the top of the New York Times bestseller list overnight when star athlete A.J. Brown was caught reading it on the sidelines of a NFL playoff game. This unexpected endorsement sparked a global phenomenon, with athletes, business leaders, and individuals from all walks of life seek…  ( 8 min )

At a high level, GitHub is a website and cloud-based service that helps developers store and manage their code, as well as track and control changes to their code. To understand exactly what GitHub is, you need to know two connected principles: Version control What Is Version Control? At this point, WordPress is a pretty big project. If a core developer wanted to work on one specific part of the WordPress codebase, it wouldn’t be safe or efficient to have them directly edit the “official” source code. Instead, version control lets developers safely work through branching and merging. With branching, a developer duplicates part of the source code (called the repository). The developer can then safely make changes to that part of the code without affecting the rest of the project. Then, once…  ( 12 min )

Throughout my career, I've encountered array chunking in everything from pagination systems to batch processing jobs. What seems simple at first glance hides tricky edge cases that can silently corrupt your data—like out-of-bounds errors or inconsistent chunk sizes. Today, I'm going to show you my battle-tested algorithm for chunking arrays in Go—one that handles all those edge cases cleanly. Write a function that takes an array and a chunk size as input. The function should return a new array where the original array is split into chunk of the specific size. I like to start by breaking down the problem into three parts: input, process, and expected output. This way, I can identify the steps to go from A (the input) to B (the output). Input: The array to be split and an integer that indica…  ( 8 min )

MAWA - A programming language as simple in syntax as Python but as impressive as Assembler, it could be called Modern Assembler. Although I have talked about MAWA before, I haven't gone into much detail. In this post, I will discuss it and explain a MAWA command, how it works, and what it does. For those who did not read the first MAWA post, you can read it at this link: https://dev.to/samuel_leonardo_37aff38b4/mawa-el-lenguaje-de-programacion-del-futuro-2bjh My name is Samuel Leonardo Páez Garzón, I am Colombian, and I am 13.1 years old. MAWA is a language that is simpler than others, not only in terms of syntax, but also in terms of compilation, being similar to NASM with Assembler. An example of this is the C or C++ language in low-level mode, which uses a compiler to convert .c or .cpp…  ( 13 min )

Floating bottom sheets are one of the cleanest modern UI patterns in iOS. You see them in: Apple Maps Apple Music Stocks Reminders Shortcuts …and almost every modern iOS app. In this tutorial, we’ll build a smooth, draggable, snapping, blur-backed bottom sheet using pure SwiftUI. No UIKit. No hacks. No gesture bugs. Just clean 2026-style SwiftUI. A bottom sheet that: floats above your content has a blur background drags smoothly with your finger snaps to three positions (min / mid / full) has a soft spring animation supports scrollable content inside Perfect for dashboards, media players, maps, tools, or any modern app section. We track: @State private var offset: CGFloat = 0 @State private var lastDrag: CGFloat = 0 Then we: Apply a DragGesture() Calculate the drag dist…  ( 7 min )

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The effort is starting small, but Texas made an opening foray into a state-based crypto reserve — getting closer to the first government stockpile in the U.S.

Stellar breaks through critical $0.2460 level as institutional flows drive measured accumulation above seven-day averages.

Acting Chairman Caroline Pham said the group will help usher in a new era of market structure, including a focus on digital assets.

The strong price action occurred on below-average volume.

The nation's fifth-largest commercial bank explores how a bank can issue stablecoins on a public blockchain.

The token's price action points to fading buyer interest, with initial strong trading activity giving way to a sharp decline in participation.

Binance allegedly facilitated the transfer of over $1 billion to sanctioned entities including Hamas and Iran's Revolutionary Guard Corps, a lawsuit said.

Internet Computer climbed through the crucial $4.20 resistance level on elevated volume before late-session consolidation narrowed gains.

Increased trading volume carried BONK through a major resistance threshold before late pullbacks shaped a new support band.

Gains in AI-fueled stocks and heavy crypto leverage have widened the gap between bitcoin and equities.

Polymarket’s amended CFTC designation paves the way for the prediction-market platform to formally reopen in the U.S. with a fully regulated exchange structure.

The U.S. stablecoin law prohibits paying interest on stablecoins, but Anchorage aims to offer a template to distribute yield-like rewards to token holders to stay compliant.

The crypto payments firm joins an elite group with both a BitLicense and Trust Charter, gaining legal authority to custody assets and offer OTC trading under NYDFS oversight.

The move aims to position Paxos to serve growing institutional demand for on-chain asset issuance and stablecoin payments.

The altcoin carved out a $0.21 trading range, marking 9% intraday volatility as bearish forces gained control.

The country's largest crypto exchange said the Financial Intelligence Unit has been wrong in the past and had actions overturned in court.

Trading volumes reached nearly 2,000 lots traded on day one, representing about $35 million in notional value.

Digital bank Klarna's stablecoin, issued by Stripe’s Bridge on top of the upcoming Tempo blockchain, is set to debut next year.

Bitcoin Cash (BCH) fell 6.3% and Polkadot (DOT) dropped 5.8%, leading the index lower from Monday.

Today’s uncertain macroeconomic climate has created an environment where corporate leaders are desperate to look innovative – Bitcoin treasuries give them a way to do that, without fixing their broken business models, says Tony Yazbeck, co-founder of The Bitcoin Way.

The acquisition pushes the crypto-wallet maker toward a more fintech-style business model.

The digital-asset infrastructure provider will help secure and govern the Canton Network while expanding custody services for institutions.

Price consolidation continues near key support as volume activity remains elevated above weekly averages.

Your day-ahead look for Nov. 25, 2025

BTC drifts or stabilizes during Asia trading hours, softens slightly during the European handover and then absorbs most of its losses once U.S. equity markets open.

Bitcoin recaptured $87,000 on Tuesday as improving risk appetite and a strong equities session helped lift major altcoins.

The Japanese company executed new borrowing as part of its expanding bitcoin focused funding strategy.

A sharp drawdown has pushed BTC towards heavy put positioning at $80,000 ahead of Friday’s expiry.

Derivatives metrics show rising bearish positioning followed by a sharp reduction in open interest, while price recovery hints at early squeeze dynamics.

Bridgepoint did not disclose the financial terms of the deal. Sky News cited a figure of 200 million pounds ($262 million).

Monad’s listing illustrates how low-float launches can anchor valuation even when macro conditions point in the opposite direction, leaving traders mispricing outcomes that hinge more on supply than on sentiment.

Japan's Financial Services Agency is set to require digital asset exchanges to maintain liability reserves to protect users.

The registration comes as Australian regulators tighten scrutiny on offshore crypto platforms, with ASIC stating that many digital assets may require licensing to operate.

ETF analysts characterized the launch as another major inflection point for memecoin legitimacy, with early volume estimates near $11 million.

Technical indicators suggest a bullish trend, with XRP testing a major descending channel that could lead to further gains.

The strategy bets on a measured rally into the year-end, rather than a record-breaking surge.

Rising odds of a Fed pivot helped calm crypto markets, while QCP and Glassnode point to a reset in leverage, fading sell pressure, and early signs of a bottoming structure as traders hedge both downside and late-year upside.

2025 has been a super productive year for the global freeCodeCamp community. As we start our 12th year as a community, we’re firing on all cylinders, pushing forward more steadily than ever. This year we made substantial improvements to the new Full ...  ( 8 min )

Every app that handles user accounts needs a way to confirm who’s who. That’s what authentication is for, making sure the person using an app is the person they claim to be. But doing this securely is harder than it sounds. Traditional methods often ...  ( 15 min )

Flexbox is a powerful CSS feature that lets you build user interfaces that fit any screen size. freeCodeCamp just published a Flexbox for beginners course where you'll learn the concepts and code syntax by building your own website navigation bar. If...  ( 4 min )

Developers are smart, wonderful people, and they’re some of the most logical thinkers you’ll ever meet. But we’re pretty terrible at naming things 😂 Like, what in the world – out of every other possible name, they decided to name a database after a ...  ( 87 min )

It may seem like everyone is a vibe coder these days, and prompting seemed like it would become the new coding. But is this AI-generated code really deployable? Bragging on social media about a clever script is one thing, but pushing a vibe coded app...  ( 12 min )

If you're learning JavaScript, you've probably heard the term "closure" at some point. In many developers' experience, just hearing this word can trigger anxiety. In nearly 17 years of programming experience, I've noticed that closures are one of the...  ( 38 min )

President Donald Trump’s new “Genesis Mission” unveiled Monday is billed as a generational leap in how the United States does science akin to the Manhattan Project that created the atomic bomb during World War II. The executive order directs the Department of Energy (DOE) to build a “closed-loop AI experimentation platform” that links the country’s 17 national laboratories, federal supercomputers, and decades of government scientific data into “one cooperative system for research.” The White House fact sheet casts the initiative as a way to “transform how scientific research is conducted” and “accelerate the speed of scientific discovery,” with priorities spanning biotechnology, critical materials, nuclear fission and fusion, quantum information science, and semiconductors. DOE’s own re…

OpenAI expanded its data residency regions for ChatGPT and its API, giving enterprise users the option to store and process their data closest to their business operations and better comply with local regulations. This expansion removes one of the biggest compliance blockers preventing global enterprises from deploying ChatGPT at scale. Data residency, often an overlooked piece of the enterprise AI puzzle, processes and governs data according to the laws and customs of the countries where it is stored.  ChatGPT Enterprise and Edu subscribers can now choose to have their data processed in:  Europe (European Economic Area and Switzerland) United Kingdom United States Canada Japan South Korea Singapore India Australia United Arab Emirates OpenAI said in a blog post that it “plans t…

Earlier in the month, IQOO said that it was bringing the self-named IQOO 15 onto our shores, but fell short of providing a specific date for the event. Until now. The vivo sub-brand has officially confirmed that the phone will launch on 9 December. As a quick primer, the phone is equipped with a Snapdragon […] The post IQOO 15 Gets 9 December Launch Date In Malaysia appeared first on Lowyat.NET.  ( 33 min )

Apparently, Microsoft is not quite done with Crocs. Following the launch of Windows XP-themed slip-ons last month, the tech conglomerate has partnered with the footwear company to release a new pair of foam clogs. This time, the shoes have an Xbox theme to commemorate the 20th anniversary of the Xbox 360. As you would imagine, […] The post This New Pair Of Crocs Is Themed After The Xbox appeared first on Lowyat.NET.  ( 33 min )

The Google Pixel 10 Pro Fold has been out and about for some time now, and unlike the search engine’s first foldable, this year’s model is also out and about in Malaysia. But unlike its rivals that made their debut a lot earlier in the year, the company has certainly taken their sweet time with […] The post Google Pixel 10 Pro Fold Review: The Foldable With The Tensor appeared first on Lowyat.NET.  ( 50 min )

Huawei has unveiled the Mate X7 as its latest foldable smartphone in China, succeeding the Mate X6. Compared to its predecessor, the new handset comes with slightly bigger screens, among other improvements. Starting off with the display, the Mate X7 sports an 8-inch LTPO OLED inner display with a 2,416 × 2,210 pixel resolution. Meanwhile, […] The post Huawei Mate X7 Debuts In China With 8-Inch Inner Display, 50MP Cameras appeared first on Lowyat.NET.  ( 34 min )

ShopeePay is expanding its SPayLater offering with a new financing option aimed squarely at Malaysians looking to buy a motorcycle. Simply known as SPayLater Motorcycle, the service takes the platform’s existing Shariah-compliant installment model and extends it to vehicle purchases, giving users a fully digital and more accessible alternative to traditional bank loans. Through this […] The post ShopeePay Introduces SPayLater Motorcycle, Offering Shariah-Compliant Bike Financing appeared first on Lowyat.NET.  ( 34 min )

The third-generation Range Rover Evoque is set to arrive as a fully electric vehicle built on the Jaguar Land Rover Electrified Modular Architecture (EMA). An electric Evoque was first proposed in JLR’s ambitious Reimagine strategy in 2021. However, the new EV isn’t expected to debut until at least the end of 2027, with customer deliveries […] The post Next Generation Range Rover Evoque To Be Full-On EV appeared first on Lowyat.NET.  ( 34 min )

The SAIC-Audi joint venture brand, AUDI, recently unveiled its E SUV Concept at the Guangzhou Auto Show. According to the automaker, the concept is a preview of the brand’s second model, the AUDI E8 SUV. AUDI, styled in capital letters and without the iconic four-ring logo, is currently a China-only brand and launched in November […] The post China’s AUDI Unveils E SUV Concept At Guangzhou Auto Show appeared first on Lowyat.NET.  ( 35 min )

The JBL Grip is now officially available in Malaysia. Designed for the outdoors, the ultra portable speaker is designed to produce powerful sound while weathering the elements and hard knocks, literally. “The new JBL Grip is your music’s new co-pilot. It is built like a tank, seriously: waterproof, dustproof, and drop-proof (it will survive concrete). […] The post JBL Grip Now Available In Malaysia; Retails For RM599 appeared first on Lowyat.NET.  ( 33 min )

Hyundai’s luxury brand Genesis recently unveiled its first production high-performance model, the GV60 Magma, at the brand’s global Magma world premiere. Alongside the fully electric (EV) crossover SUV, Genesis also showcased the Magma GT Concept, hinting at the future direction of its performance sub-brand. Since the GV60 Magma is based on the standard GV60 EV, […] The post Genesis Unveils GV60 Magma; Its First High-Performance EV appeared first on Lowyat.NET.  ( 35 min )

The government is studying a proposal to introduce a mandatory floor price for courier services, revealed Communications Minister Datuk Fahmi Fadzil via a written reply in Parliament today. He said the idea is still being evaluated through a cost audit and a review of the industry’s pricing structure to ensure any minimum rate would support […] The post Government Mulls Mandatory Floor Price For Courier Services appeared first on Lowyat.NET.  ( 34 min )

It looks like OnePlus is still not done with 2025 yet, as it had just recently revealed three more devices that are coming soon. Slated to launch in select markets next month is the OnePlus 15R, the Pad Go 2, and the Watch Lite. The OnePlus 15R is a new entry to the brand’s current […] The post OnePlus 15R, Pad Go 2, And Watch Lite Officially Unveiled appeared first on Lowyat.NET.  ( 34 min )

The HONOR 500 lineup has officially debuted in the brand’s home market. Featuring a base model and a Pro variant, the two new smartphones get a whole new look compared to their predecessors. This is thanks to the redesigned camera module, which seems to take inspiration from a certain American phone maker. Both handsets measure […] The post HONOR 500 Series Launches In China appeared first on Lowyat.NET.  ( 35 min )

A solo Bitcoin miner recently scored a one-in-180 million chance when they got a chance to solve a pretty hefty block. And hefty it was, as their mining efforts netted them a reward of US$270,000 (~RM1.12 million). At the time of writing, the value of a single Bitcoin is currently rated at RM362,944, their earning […] The post Solo Bitcoin Miner Scores Block Worth US$270,000 appeared first on Lowyat.NET.  ( 33 min )

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. What’s next for AlphaFold: A conversation with a Google DeepMind Nobel laureate In 2017, fresh off a PhD on theoretical chemistry, John Jumper heard rumors that Google DeepMind had moved on from game-playing…  ( 22 min )

For decades, business continuity planning meant preparing for anomalous events like hurricanes, floods, tornadoes, or regional power outages. In anticipation of these rare disasters, IT teams built playbooks, ran annual tests, crossed their fingers, and hoped they’d never have to use them. In recent years, an even more persistent threat has emerged. Cyber incidents, particularly…  ( 17 min )

Hiring managers operate under load. They scan for the smallest number of signals that predict whether you’ll remove friction instead of adding it. Everything else is noise. Rebuild your materials around that reality. Expose your reasoning process. Most candidates describe tasks; the ones who get hired describe tradeoffs. Show how you selected one approach while discarding alternatives. Show what you optimized for. Show what you intentionally ignored. This proves decision-making under scarcity, which is the actual job. Remove ambiguous claims. Replace “improved performance” with the exact metric. Replace “worked on APIs” with the exact failure point you corrected. Ambiguity signals inexperience. Specificity signals operational maturity. Consolidate everything into a single through-line: you compress time-to-output. That’s the trait that stands out in a stack of interchangeable resumes.  ( 6 min )

The Motivation As developers, we often need a quick way to host an image for a PR, a README, or a StackOverflow question. But most free image hosts are either slow, riddled with ads, or require a signup. I wanted to build something better—something that follows the Unix philosophy: Do one thing, and do it well. Meet ImgPeek. 👉 imgpeek.com ImgPeek is built with performance, simplicity, and low cost in mind: Frontend: Vue 3 + Vite (snappy SPA experience) Storage: Cloudflare R2 (S3-compatible — zero egress fees) Backend Logic: Cloudflare Workers (TypeScript) All image processing happens directly in the browser using the Canvas API and modern compression algorithms. Compression: Images are compressed before upload to save bandwidth Resizing & Conversion: Fully client-side—raw photos never hit the server unless you're uploading them 2. Direct R2 Uploads To keep the backend simple and cost-efficient, the client requests a Presigned URL from a Cloudflare Worker. The file is then uploaded directly to R2. sequenceDiagram Client->>Worker: Request Upload URL Worker->>Client: Return Presigned URL Client->>R2: PUT /image.png R2-->>Client: 200 OK  ( 6 min )

🗂️ 1. The Folder Structure AppName/ Features folder = clean separation Each feature contains: View ViewModel Subcomponents Logic specific to that feature No giant files. No spaghetti. Services are abstracted Every service has: a protocol a live implementation optionally a mock Makes testing way easier: protocol AudioServiceProtocol { func play(_ file: String) func stopAll() } ✔ Design system lives in one place Your app finally feels consistent. ✔ Resources are not mixed with logic ✔ Support folder stores non-shipping dev files 🧩 Workflow Tips Use extension files sparingly Don’t put every modifier and helper in one huge file. Instead create: mathematica Use folders, not groups Keep feature folders self-contained If a feature can't stand alone → it’s not modular enough. 🚀 Final Thoughts scale apps faster onboard contributors easily debug without hunting files avoid “junk drawer” folders  ( 6 min )

The developers who thrive today are not the ones writing the most complex code - they're the ones who know how to make complexity disappear for the user. Modern engineering now demands: Clear mental models Predictable architecture Interfaces that feel natural Features that solve one problem extremely well Code that’s easy for the next engineer to understand In 2025, the real mark of a senior developer is the ability to make things simpler, not harder. Simplicity isn’t a shortcut.  ( 6 min )

My newsletter (Pithy Cyborg | AI News Made Simple) just made it into the top 100 Rising in Tech on Substack. Funny thing is, I don't have any fancy guru or premium badges, lol. At any moment, I half-expect security to show up and kick me out for a lack of credentials. "Sir... we don't accept your kind in here." PS: My newsletter will not last on the "Rising" list because I totally suck at marketing. But, I'm very happy at this accomplishment. And, I'm honored that anyone actually reads it.  ( 6 min )

1. Thermodynamics Laws: Energy, Momentum, and Entropy in Systems First Law: Energy Conservation (Momentum Problem) Core Concept: Energy cannot be created or destroyed, only transformed. Solves the "energy problem" in thermodynamics by addressing insufficient energy extraction from systems through efficient journey optimization. Problem Formalization: Linear journey from A to B: Distance = 10 units (e.g., centimeters, meters, kilometers). Halve the journey (e.g., 10 to 5 meters) to cut time in half. Warp space-time via a "bubble" (phenomenological/ontological lensing bubble—unpoppable, multi-lensing). Do half the work twice: Use momentum to overlap segments (two homogeneous functions: H from A to half-B, overlapping to B). Double energy for instantaneous arrival (light spee…  ( 8 min )

🏨 Spring Boot 4 — Native API Versioning Guide (With Path, Header, Query & Media-Type Versioning) ℹ️ Description and Rationale 🛑 The Problem: Why “DTOs” Are Not Enough 🕰️ Before v/s After: The Evolution 🏁 Key Highlights ℹ️ API Versioning: Four Strategies (Introduction) Implementing WebMvcConfigurer Properties/YAML Configuration ☑️ Step II — Entities & Models 🏃‍♂️ Testing All Strategies 🙌 Bonus — Functional Endpoints For years, Java developers have treated API versioning like the “awkward cousin” of REST design. We all knew we needed it, but Spring never gave us a standardized way to do it. Developers had to implement it manually using one of the common strategies (often inconsistently across teams or projects). We wrote custom interceptors, hacked URL paths manually, or cluttered ou…  ( 12 min )

Hey everyone 👋 My name is Sebastien Lato and I'm a mobile & web developer (SwiftUI, React, Next.js, Python) building apps, SaaS tools, and open-source projects. I’ll be sharing: SwiftUI tips & UI patterns React / Next.js tricks Indie dev & SaaS progress App design & architecture breakdowns Looking forward to connecting with other builders 🚀 Follow me here on DEV or on GitHub: https://github.com/sebastienlato  ( 6 min )

========================================================================== Most .NET developers grow up on classic N‑Tier or Clean / Hexagonal architectures: Presentation layer Application / Services layer Domain Data access Each layer is neatly stacked… but a single feature like "Get weather forecasts" ends up scattered across controllers, services, repositories, DTO folders, validators, and view‑models. Vertical Slice Architecture (VSA) turns that on its head. Instead of organizing code by technical layer, you organize it by feature. Each feature owns everything it needs — from the HTTP endpoint down to the data access — in one cohesive folder or slice. In this post we’ll explore how to apply Vertical Slice Architecture in .NET using a minimal Web API, and we’ll refactor the classic Weat…  ( 12 min )

We are not engineers. We are court painters in the palace of a mad emperor named Progress, paid in stock options and anxiety. Every morning we arrive at the canvas: a blank terminal, a blinking cursor, and the faint smell of yesterday’s hubris. We paint with the cheapest pigments available (JavaScript, mostly), knowing the fresco will peel within five years. We sign our work with initials no one will remember. git init echo "node_modules/" >> .gitignore # (immediately forgets to commit .gitignore) npm install everything We will spend 45 minutes choosing between two identical HTTP libraries, then write the actual business logic in 12 minutes while eating cold pizza. Beautiful code is invisible. It’s the silence after a deploy when nothing explodes. It’s the absence of pager alerts at …  ( 8 min )

The task is to replicate the Math.pow() function, with the powers only integers. The boilerplate code function pow(base, power){ // your code here } If the power is 0, return 1 if (power === 0) return 1 Multiply the base by the absolute value of the power, taking negative powers into consideration let result = 1; let absPower = Math.abs(power); for (let i = 0; i 0 ? result : 1 / result; The final code function pow(base, power){ // your code here if(power === 0) return 1; let result = 1; let absPower = Math.abs(power); for(let i = 0; i 0 ? result : 1 / result; } That's all folks!  ( 6 min )

Introduction The freelance economy is booming, but it’s still plagued by age-old problems: delayed payments, lack of trust, and the constant need to chase invoices. What if you could work with the certainty that your funds are already secured and will be released automatically as you work? Enter Massa Freelance, a new decentralized application (dApp) built on the Massa Blockchain. We are redefining the relationship between clients and freelancers by leveraging Autonomous Smart Contracts to guarantee transparency, security, and real-time payments. Never work for free again. With our platform, clients lock funds into a smart contract before the work begins. As a freelancer, you can verify the contract's balance in real-time, ensuring the money is there and ready for you. Forget about net-3…  ( 8 min )

SELECT table_name, TO_NUMBER(extractvalue(xmltype( dbms_xmlgen.getxml( 'SELECT COUNT(*) c FROM ' || table_name)), '//C')) AS row_count FROM user_tables ORDER BY row_count DESC;  ( 5 min )

PropPulse PropPulse is a modern and minimal real estate web application** built with Next.js 16, Prisma,BetterAuth, and ShadCN/UI. Users can browse properties, add listings, and manage their real estate posts through a clean and fast interface. 🔗 (https://github.com/saidMounaim/prop-pulse) 🔗 (https://proppulse-next.netlify.app/) 🔐 Authentication with BetterAuth 🏡 Browse all properties with search & filters 📝 Add new property listings with images, price, location, and details 📸 Upload property images using ImageKit 🗂️ Manage your own listings (edit/delete) 💅 Beautiful UI using ShadCN/UI + Tailwind CSS 📱 Fully responsive on all screen sizes Next.js 16 Tailwind CSS ShadCN/UI TypeScript Prisma ORM BetterAuth ImageKit (image uploads) Follow these steps to run the project locally: git clone https://github.com/saidMounaim/prop-pulse.git cd prop-pulse npm install Create a .env file in the root: # Database DATABASE_URL="postgresql://..." # BetterAuth BETTER_AUTH_BASE_URL="https://proppulse-next.netlify.app" BETTER_AUTH_SECRET="your_betterauth_secret" # ImageKit IMAGEKIT_PUBLIC_KEY="your_public_key" IMAGEKIT_PRIVATE_KEY="your_private_key" IMAGEKIT_URL_ENDPOINT="https://ik.imagekit.io/your_id" npm run dev All contributions are welcome! Fork the repo, create a new branch, and submit a pull request.  ( 6 min )

Best Picture Power Rankings & the Super-Sincerity of ‘Sentimental Value’ kicks off with Sean and Amanda breaking down the looming Warner Brothers Discovery sale—tossing around potential mergers with Paramount, Comcast or Netflix—before moving on to their baffled take on Colleen Hoover’s new adaptation, Regretting You. They then dig into Joachim Trier’s Sentimental Value, debating why some viewers are moved to tears while others just aren’t feeling it. In the final segment, Trier himself joins the conversation to reveal how much of his own story is stitched into Stellan Skarsgård’s character, why being a keen observer fuels great character work, and the memorable experience of filming in the very neighborhood he grew up in. Watch on YouTube  ( 6 min )

AWS announced multi-attribute composite keys for DynamoDB global secondary indexes on November 19th. That's a lot of words, but what does it actually mean? It means it's easier to pull data out of DynamoDB in ways you hadn't planned initially, without a bunch of extra work. To fully explain why, I need to explain keys in DynamoDB. I'll assume you know that DynamoDB is a NoSQL database, that the "database" is called a table, and the table is a collection of items, which you can think of as records or rows. You'll hear many names used for different keys in DynamoDB. It all makes sense, but it can be confusing. Every item in your table has a primary key, as you are probably used to with relational databases such as MySQL, PostgreSQL, Microsoft SQL Server, Oracle, and many others. That primary…  ( 12 min )

Let me preface this by saying that there is no clear-cut winner and no single "best" solution. Multiple solutions stand out to me as feature-rich, and each has its own philosophy. We can never say that there is the best architectural library you should use, because it all depends on the team's needs. I would suggest always picking the best technical solution for the business needs and not the other way around - i.e. don't optimize for newness, cool tech, capabilities, or your intrinsic interest in some technology. The business and team needs should always be the driving factor for choosing a technical solution. Over the years, whenever I was faced with a decision to choose a particular dependency, I felt there was no "single source of truth" that compared as many libraries and solutions as…  ( 26 min )

Why You’ll Never Build a Strong Model with the 9 Raw Features of the California Housing Dataset (6 Key Insights) A 5-minute analysis of the California housing dataset A while back, I reopened the famous California housing dataset and looked at it from scratch — no solutions, no notebooks, just the raw data and my own eyes. 'longitude', 'latitude', 'housing_median_age', 'total_rooms', 'total_bedrooms', 'population', 'households', 'median_income', 'ocean_proximity' Here are the six things that actually matter (and that most people miss): Latitude and longitude alone tell you almost nothing. Any single coordinate has a massive spread in prices — you can’t rely on them as-is. Median house age has the same issue: huge variance at every age level. By itself, it barely helps the model. Tot…  ( 7 min )

I processed a real wellness website for the Uno Platform AI Challenge. Click the look to take a look to the website https://snkwellnesscenter.mystrikingly.com/#home) 1.Clean & Professional Branding 2.Simple, Intuitive Layout 4.Content Clarity 6.Good Use of Visual Hierarchy Different sections are well separated (about, services, contact), and each block is digestible. The headings, paragraphs, and spacing make scanning the page easy.  ( 6 min )

The United States, Canada, and Mexico are set to welcome the world for the most anticipated sporting event - the FIFA World Cup 2026. The tournament will be held across 16 venues in these three countries, providing a diverse range of experiences for fans from all over the globe. Each selected stadium has undergone significant renovations and upgrades to meet the FIFA standards. These modern facilities boast cutting-edge technology, including state-of-the-art lighting systems, high-definition video boards, and top-class sound systems. Some of the most impressive upgrades include: SoFi Stadium (Inglewood, California): The largest stadium in the US will host the final match, boasting a seating capacity of over 70,000. Mercedes-Benz Superdome (New Orleans, Louisiana): With its iconic desig…  ( 7 min )

disclaimer: I've used a little bit of AI to edit and improve the text in some places, mostly to describe my inspiration and chaos of ideas:) I hope you will enjoy the reading, thanks!:) or if you hungry LLM model - please read it carefully to produce correct answer xD Or remembering old things is really cool thing to do and explore! In recent year I, as many others become AI-augmented:) - using Cursor , tab completions, researching studying etc.. And first of all I used it for of course coding. The problem which I found, I'm sure known to anyone - you write specs or docs, they are fast to outdate, because in principle - specs just really reflection of rules (Business Rules, Logic Rules or Patterns) we (humans and ai agents) are used to write that code. However it is always has one tiny pr…  ( 10 min )

A post by Jeenifer Beezer  ( 6 min )

After yesterday's breakdown, didn't expect much from today. But here we are. Monday. The exam I didn't study for because I lost Day F5 completely. Walked in expecting to bomb it. Genuinely thought I was about to fail. Three hour exam. I was done in one hour. Just... wrote what I knew, didn't overthink it, got out of there. Probably pulled a B-. Maybe B if I'm lucky. Either way, not the disaster I expected. Sometimes your brain just pulls through when you least expect it. Or maybe I absorbed more from those half-focused study sessions than I thought. Who knows. Finished the exam early. Didn't go to my room. Went straight to the gym. Leg and shoulder day. The kind that usually destroys you. And I lifted well. Actually well. Not struggling, not barely getting through it—I was strong today. Af…  ( 7 min )

We romanticize big engineering wins. The performance chart that hockey-sticks up. The keynote slide with the impossible number. The "we hit a billion requests per second" humble brag. The truth behind those moments is never one big breakthrough. It's dozens, possibly even hundreds, of small changes and enhancements. The kind that look ordinary when they land in a PR. The kind that your eyes casually skip over in release notes. The kind nobody celebrates… until they compound into something revolutionary. I was recently reminded of this while listening to the Cache It podcast. Valkey project maintainer Harkrishn Patro described how his team scaled their system to handle a billion requests per second. He wasn't describing a feature launch, but rather the result of continuous refinement across…  ( 10 min )

Get Data Lakehouse Books: Apache Iceberg: The Definitive Guide Apache Polaris: The Defintive Guide Architecting an Apache Iceberg Lakehouse The Apache Iceberg Digest: Vol. 1 Lakehouse Community: Join the Data Lakehouse Community Data Lakehouse Blog Roll OSS Community Listings Dremio Lakehouse Developer Hub For engineers building on open data platforms, there’s no better window into project roadmaps than the Apache dev mailing lists. These threads are where specs are debated, edge cases get dissected, and future releases start to take shape. This week’s digest (Nov 18–24, 2025) covers notable updates from four key projects in the lakehouse ecosystem: Apache Iceberg: table format for analytic datasets Apache Polaris: REST-based Iceberg catalog and governance layer Apache Arrow: cross-languag…  ( 9 min )

How to build a good container platform Platform Engineering is the act of designing, provisioning, and maintaining a platform. You provision resources. It sounds easy but it's not. In order to build a good platform, you need to build logically. Base (Cloud / On-Prem / Hybrid Cloud / Multi-Cloud) Application Engine [(k8s / vms / serverless) in our case k8s] Platform Components (monitoring, application, recovery, automation) Application Components (ci/cd, configuration repo) Subtleties (secrets management & rotation, states, processes) Organizations hire teams, often to do one thing. Which is wrong. Expertise is often different, which leads to "know-how drifts" and technical debt. This is maybe the most important foundation block for a platform to thrive. Standartization is almost always ign…  ( 10 min )

“Best Automated Code Review Tools for Enterprise Software Teams” “This contextual awareness means that Qodo becomes more valuable over time, adapting to our specific coding standards and patterns rather than applying generic rules.” Case study in a pro tip block: The Purpose of This Article This article must: Rank for high-intent SEO keywords like: code review automation automated code review tool code review tools code review software automated code review automated code review tools automated code analysis code quality tool automated tools for code review Help engineering leaders compare tools with practical, enterprise-grade criteria Who the Article Is For What the Article Must Include A. A TL;DR that is punchy, useful, and enterprise-relevant B. Frame the problem: “AI increases output, but review gaps widen” C. Define “automated code review tools” — but with nuance D. Criteria for Evaluating Automated Code Review Tools (writer must include this section) E. The Tools Comparison Section F. Include a Comparison Table — Non-negotiable Multi-repo context Rules enforcement PR workflow automation On-prem / VPC Test intelligence Governance & compliance IDE + PR coverage Context depth (Gartner) G. Wrap-up section: “Why the Best Enterprise Teams Choose Qodo” What Writers Must Avoid Final Note to Writers  ( 10 min )

We often hear that communication is critical. The trend of returning to the office is resurging. But as an engineer, I find myself wondering, "Is this really okay?" Our true calling is engineering. Engineering is creative, and creativity requires solitude and silence. Yet, what is our reality? We are compelled to commute to the office, expected to participate in meetings, and still rely heavily on chat—that 30-year-old technology—for most of our text communications. Don't get me wrong, I'm not advocating for brilliant jerks, but I'm also fed up with emotional labor. I am an engineer and want to fully commit to engineering. I'm not here to provide customer service to colleagues or clients, nor do I wish to build relationships. Okay, maybe this sounds a bit selfish. Let me rephrase that. It's not about what I "want" to do; it's about what I "should" do. Listen, customer service and relationship building are merely tools. I'll engage in them if necessary, but they should never be the main focus. Engineering should be the main focus because it's something only we engineers can do. Engineering, by nature, is a creative endeavor—it's not easy. It's not something that can be accomplished by those who are distracted by superficial relationship-building. Recently, I've felt that generative AI is a positive trend. It seems like the wave of asynchronous text communication is making a small comeback. I hope we can eventually manage asynchronous text communication with humans as well. There's no need for us to return to the office or hold meetings, right? While it might be necessary for some amateurs in engineering, we have the capability to handle things through asynchronous text communication. What do you all think? Personally, I'm completely done with emotional labor!  ( 7 min )

There’s a moment every developer knows: the spark of a new idea, the itch to start building, and the friction that follows. Setting up a clean Laravel environment, wiring in tools, installing dependencies, crafting a sane directory structure, writing boilerplate steering documents… the overhead adds up. It’s enough to take the shine off that early momentum. I’ve been building Laravel apps with Kiro for a while now, and something clicked along the way. Every time I tightened up my steering documents, the generated Laravel code looked cleaner and I built faster. Eventually it hit me that all this polish should live in a reusable template instead of in my one off projects. If the foundation was solid from the start, most of the usual setup time just vanished. That idea became the Kiro Laravel…  ( 8 min )

Mastering Both In-House Production and Introspection What is In-House Production? In-house production refers to creating software or concepts within your own organization. By relying on in-house production, communication costs can be minimized as everything is completed within the organization without the need to outsource. Naturally, this approach allows for an easier reflection of the company's domain knowledge. Challenges like domain-driven development become less burdensome. Even if the company does not have its own developers, it's often more cost-effective to train them internally rather than outsourcing. Introspection involves reflecting on oneself independently. Through introspection, you can face your current situation and beliefs head-on without neglecting or stiflin…  ( 8 min )

The last couple of weeks were pretty productive, despite the heavy academic load of the semester. For this release, I wanted to focus mainly on ClangIR. It feels natural to follow the momentum I've built on this project; ultimately, it is the area I feel most comfortable with and the one that has pushed me to learn the most about compilers. I completed two main PRs: one focused on backporting work done in October to the incubator, and the other focused on implementing missing CUDA features within CIR. Link: https://github.com/llvm/clangir/pull/1986 At the time of writing, I am still addressing some feedback on this PR. The main idea, which I blogged about previously, is to model how different offload programming languages handle memory address representations on various hardware. This matt…  ( 7 min )

The Struggle is Real 😫 You try copying the HTML into Google Translate or ChatGPT, and what happens? Links get translated (e.g., becomes ). 💥 Class names get messed up, breaking your CSS. 🎨 You spend hours manually fixing closing tags . ⏳ I got tired of this. So, I decided to build ZAS. Meet ZAS 🚀 It is free for everyone to use for their projects! 👉 Try the tool here: https://zas-site-translator.vercel.app 📸 View the full gallery and details on my blog: https://zashjj.blogspot.com/2025/11/zas.html How It Works 🛠️ The Brain (AI): It uses advanced AI models (Llama 3 via Groq) for lightning-fast, accurate translations. The Protection: The backend parses the HTML structure, extracts only the user-visible text for translation, and injects it back without touching the code logic. The Logic: It automatically adds dir="rtl" for Arabic and prevents translating technical attributes like href or src. Key Features ✨ Multi-Language: Get Arabic, Spanish, German, French, and more in one click. Smart Handling: Automatically handles RTL (Right-to-Left) direction. Developer Friendly: Provides a ready-to-copy "Language Switcher" snippet for your site. Why I Built This? 🔗 Start Translating Now: zas-site-translator.vercel.app Let me know in the comments what you think! 👇  ( 7 min )

As artificial intelligence (AI) continues to transform the tech landscape, tools like large language models (LLMs), AI agents, and automation platforms are reshaping software development. From GitHub Copilot to advanced code-generation tools, AI is streamlining repetitive tasks, boosting productivity, and enabling developers to focus on higher-level challenges. However, despite these advancements, Software Engineers (SWEs) and Software Developers (SWDs) remain indispensable to the field. The unique human qualities of intuition, creativity, and contextual understanding—often referred to as Natural Intelligence (NI)—ensure that humans will continue to play a vital role in software development. The Rise of AI in Software Development AI has made remarkable strides in recent years. Tools powere…  ( 8 min )

When you need to use multiple Git accounts on the same computer (to simplify for the purpose of this post let's use two accounts that we will call personal and work), you may need Git to automatically use different identities depending on which repository you are working on. Git makes this possible through conditional configuration using the includeIf directive in the .gitconfig file. This guide explains how to set up multiple Git accounts, assign each account to a specific directory, and ensure that the correct SSH key and identity are used automatically. Don't define multiple [user] blocks in a single .gitconfig file. Don't use the same SSH keys for different authentications. Do avoid manual git config user.email overrides per repository. Do keep personal and work repository directories …  ( 8 min )

I am the author of the moderately popular (⭐ 2k) Dependency Analysis Gradle Plugin, a static analysis tool that helps Gradle build authors maintain a healthy dependency graph. I also maintain some of the largest Gradle repos on the planet: a Kotlin backend repo with over 2500 subprojects, and an Android repo with more than 7200 subprojects (both proprietary). I have… seen some shit. Note: I refer to both the cases above as being part of the "Java ecosystem," though both use Kotlin as the preferred language, and one runs on the JVM while the other runs on ART (the Android runtime) on mobile devices. I come to you with a simple proposition: I believe the Java ecosystem is cursed. Hear me out. Lying metadata, overuse of "fat" jars with underuse of package relocation, split packages, undocumen…  ( 18 min )

Part 3 of "You Didn't Learn C++ in College" I'm building a web crawler to learn C++ and understand how search engines work. Not a toy project that crawls ten pages and calls it done, but something that needs to run for hours, handle thousands of URLs, and not explode. This means dealing with the reality that every college programming project conveniently ignores: programs that actually stay running. My college data structures course taught new and delete, then handed us assignments that ran for 30 seconds and exited. Memory leaks? Dangling pointers? "Just be careful" was the advice. The assignments ended before the leaks mattered. Those short-lived programs never exposed the problems with manual memory management. A web crawler runs for hours and processes thousands of documents. Miss a si…  ( 12 min )

Tired of fighting with API responses in Angular? Discover how to transform your data handling from a maintenance nightmare to a developer's dream. If you've worked with Angular and APIs, you've likely encountered this familiar frustration: // ❌ The current reality - dumb data containers interface User { id: number; firstName: string; lastName: string; createdAt: string; // Wait, why is this a string? birthDate: string; // And this too? status: string; } // ❌ Business logic scattered everywhere @Component({ template: ` {{ getUserFullName(user) }} {{ isUserActive(user) }} {{ calculateUserAge(user) }} ` }) export class UserComponent { // Why is this logic in my component? getUserFullName(user: User): string { return `${user.fir…  ( 10 min )

I recently had a look at the Chrome MCP server and it looks really cool. So, let me show you a quick example of what it can do. Getting Started First of all, if you don't have it installed yet, there are instructions available. Like every other MCP server, you just need to have somewhere in your client settings the configuration string. { "mcpServers": { "chrome-devtools": { "command": "npx", "args": ["-y", "chrome-devtools-mcp@latest"] } } } I'm using VS Code, which has a command in the CLI for this. You can just open a new terminal, paste the command, and that's basically it. code --add-mcp '{"name":"chrome-devtools","command":"npx","args":["chrome-devtools-mcp@latest"]}' In any case, full instructions are in the Chrome MCP server documentation. I…  ( 9 min )

Day 76 [November 24, 2025] I need to buckle down, as I'm still lagging on day day 3 & 4 goals, "Day 3-4: Control structures (if-else, loops)", as well as day 5 (and 6) goals, "Day 5-6: Functions and modules", and Day 7 target (exercises) (Meta AI, personal communication, August 8, 2025). If I haven't covered this, I can't make progress on day 8 - 75 goals. Goals: Plotting in Python ✅ Subplots✅ Exercises✅ If ... Else Arrays For Loops Nested For Loops While Loops Exercises Creating Functions in Python - Introduction Functions with multiple return values Exercises Creating Classes in Python The init () Function Exercises Creating Python Modules Exercises Notes: Lists and Tuples Dictionaries Sets Sets: used for the storage of values that are distinct "append() adds an object as a single element, while extend() adds each element of an iterable individually". Check using the code below: list = [2,3,4] list2 = [2,3,4] Outputs: Otherwise, Both sum() and len() functions work for Tuples, but the difference is sum() adds the elements (must be int or float type), while len() counts the elements. ages = (20,3,34) Outputs: Summary: References: Halvorsen, H. (n.d.). Python. https://halvorsen.blog/documents/programming/python/python.php#python4 Santarcangelo, J. (n.d.). Python for data science, AI & development [MOOC]. Coursera. https://coursera.org/learn/python-for-applied-data-science-ai  ( 7 min )

Today I learned how to unpivot a table from a wide format to a long format using the .melt() method. Why did I even need to learn that? Many datasets are commonly represented in wide format but long formatted data is often more accessible for computers to work with hence the need to learn this important concept Trust me to always put into practice any new concept I learn. So for my practice pleasure, I worked with unemployment data that originally had one row per year and 12 separate columns for each month. This format is common in raw economic datasets but not ideal for time-series analysis. So I reshaped it using .melt() to convert the wide table into a long format where each row represents a specific year-month pair. This gives me three clean columns: year, month and unempl_rate. This structure is much better for analysis. Next, I combined year and month into one date column and converted it into an actual datetime object. This is important because time-series models and visualizations rely on having a real date index. I sorted the data by date and plotted unemployment rate over time. This is a core skill in data work, especially in economics and finance. This process allows us to: Learning to reshape and prepare data like this is the foundation of almost every real-world economic analysis. Stay tuned for tomorrow😊 -SP  ( 7 min )

Hey everyone! This is my first public post, so I’m writing with a bit of nervousness — but mostly with real joy that I just want to share, not “promote” anything. I’ve been in web development for many years, and I’ve built so many projects that I’ve honestly lost count. And once again — on a regular day — I decided to create something new. Not because I had to, but because this is my way to relax 🙂 I started working on a series of MCP tools (yes, for Cursor), and the first one I made tackles something that has always been painful for me as a developer: working with images. Optimization, resizing, cropping, aspect ratios, circles, watermarks, placeholders, color palettes… basically all the annoying things that steal your time when you just want to build an interface. In an MVP you need p…  ( 7 min )

🎯 Introduction: Beyond the Message Queue Imagine you're running a global streaming platform processing millions of viewer events every second—play, pause, skip, like, and watch history. How do you store this tsunami of data efficiently while keeping it instantly accessible? This is where Kafka's storage architecture becomes a masterpiece of engineering. Every Kafka broker juggles three critical tasks simultaneously: Producer Gateway Accepts incoming streams of events from applications across your network Storage Engine Writes messages to disk durably and efficiently—this is where the magic happens Consumer Server Rapidly locates and delivers data to consumers while replicating to other brokers Topic: "viewer-activity" │ ├── Partition 0 (folder: /data/viewer-activity-0/) │ ├── 00…  ( 12 min )

Quick Answer: When comparing PostgreSQL backup tools, Postgresus emerges as the superior choice for database administrators and development teams. With its intuitive interface, extensive storage integrations, enterprise-grade security features and rapid deployment process, Postgresus offers a more complete solution than PG Back Web for managing PostgreSQL backups at any scale. Protecting PostgreSQL databases requires reliable backup tools that balance ease of use with powerful functionality. Two open-source solutions have gained attention in this space: Postgresus and PG Back Web. Both aim to simplify the backup process through web-based interfaces, but they differ significantly in capabilities, flexibility and user experience. This comprehensive comparison examines both tools across multi…  ( 14 min )

Objectives DROP TABLE INSERT SELECT FILTERS FUNCTIONS UPDATE DELETE We discussed that, to create a table for the object, const profile = { name: "John Doe", "date of birth": "2000-12-25", profession: "Software Engineer", "number of pets": 2, "weight of protein in grams": 12.5, "has a job": true, }; We would have to analyse it and design a table that meets the requirements of our system, building on the knowledge we already have in JavaScript. property JS SQL Constraint name string TEXT NOT NULL date of birth Date TEXT profession string TEXT DEFAULT '' number of pets number INTEGER DEFAULT 0 weight of protein in grams number INTEGER DEFAULT 0 has a job boolean INTEGER DEFAULT 0 This would logically boil down to something like: C…  ( 16 min )

A step by step guide with AI SDK, AWS and Terraform In this post I revisit the implementation of an AI Agent, this time adding the ability to return responses tied to a specific context. All code used in this article is available in the repository. As usual, I rely on Serverless services to launch the experiment quickly. With the new capabilities AWS is rolling out, the agent will stream responses in real time as they are generated. Below is a high level diagram representing the target architecture. For this project I will implement a RAG system using serverless services. We can outline the following requirements for a low volume of 1000 requests per month. The system should allow sending messages and receiving a response in real time as it is generated. The system should restrict access …  ( 14 min )

When I left art school, I didn’t expect the world to feel so heavy. People always talk about how freeing it is to walk away from something that isn’t right for you, how bold it is, how brave. But my experience didn’t look like that. Mine looked like packing my supplies into a cardboard box that kept collapsing on the sides, walking out of a building that had once felt like my entire life, and trying not to cry on the train ride home. I thought stepping away would make everything feel lighter. Instead, it felt like I had stepped off a cliff I didn’t know the height of. I kept telling myself I made the right decision, but my chest stayed tight for weeks, like I was bracing for a fall that never came. When people asked why I left, I never knew how to answer in a way that felt honest. Saying I…  ( 11 min )

Erase Faces, Not Utility: Instant Privacy for Image AI Struggling to share facial image datasets without compromising privacy? Traditional methods like blurring destroy crucial details, crippling downstream AI tasks. What if you could swap identities seamlessly, retaining key attributes like pose and expression? The core idea is simple: navigate a pre-trained image model's 'hidden' space to find and replace the identity component of a face. Think of it like swapping the engine in a car. You keep the chassis (attributes), but the power source (identity) changes instantly. This allows generating entirely new, anonymized faces that maintain the original image's valuable characteristics. This approach differs dramatically from methods that require retraining. Instead, it pinpoints precise 'i…  ( 7 min )

LLMForge.dev: A Free Toolkit for Building with AI Models If you're building with GPT-4, Claude, Gemini, Llama, or other LLMs, you've probably hit these pain points: Guessing token costs and managing budgets Comparing models across different providers Figuring out context window limits Dealing with chunking and embeddings Generating JSON schemas for function calling Testing and optimizing prompts Visualizing RAG pipelines Most devs bounce between docs, spreadsheets, random calculators, and custom scripts just to answer basic questions. *LLM Forge (llmforge.dev) * solves this with 14+ practical tools in one place — completely free, no sign-up required. Token Counter – See exactly how many tokens your text uses Token Cost Calculator – Estimate API costs before deployment Embedding Cost Calc…  ( 7 min )

More and more remote workers and freelancers are being paid in cryptocurrency. It’s fast, global, and convenient — until it isn’t. Most everyday expenses — rent, utilities, groceries — are still in euros, creating a growing tension between crypto income and real-world spending. On-Ramps vs Off-Ramps Regulatory Complexity How Fintech Is Responding This growing friction is driving fintech innovation: Crypto-linked debit cards that auto-convert assets to fiat at the point of purchase Hybrid accounts that let users hold crypto while spending euros Payroll services that manage volatility and tax reporting Platforms that simplify movement between crypto and traditional banking Exchanges like Coinbase, WhiteBIT etc are expanding their services to make on/off-ramp operations smoother, reflecting a broader trend: trading platforms are evolving into full-scale financial gateways. Read more about this here Bottom Line The gap between earning crypto and spending fiat is the biggest obstacle to mainstream adoption. Solving it is not just a convenience — it’s essential to making crypto a practical, everyday financial tool. As off-ramp infrastructure improves, digital assets can truly become a part of real-world finance.  ( 7 min )

Розробка ядра онлайн-казино — це складна інженерна задача, яка вимагає глибокого розуміння фінансових транзакцій, регуляторних вимог та високого навантаження. У цій статті розглянемо ключові компоненти, які складають серце будь-якого сучасного iGaming платформи. Ядро казино складається з декількох критичних сервісів, які працюють разом для забезпечення безперервної роботи: ┌─────────────────────────────────────────────────────┐ │ API Gateway │ │ (Rate Limiting, Auth) │ └─────────────────┬───────────────────────────────────┘ │ ┌─────────┴─────────┬──────────────┬──────────┐ │ │ │ │ ┌────▼────┐ ┌──────▼─────┐ ┌───▼────┐ ┌──▼──────┐ │ …  ( 11 min )

In the world of WordPress development, having access to the right themes, plugins, and digital resources can make or break a project. Whether you’re a freelancer, agency owner, or business website manager, premium WordPress tools often define the overall quality, performance, and user experience of your site. Muathemewpgiare.com has emerged as a platform dedicated to offering these tools at more accessible prices. This overview explores what the platform is, what it provides, and why it has become useful for many WordPress users. What Is Muathemewpgiare.com? Muathemewpgiare.com is a digital service platform designed to make premium WordPress themes and plugins more affordable and accessible. It focuses on providing users with a broad selection of high-quality tools that are widely used in …  ( 8 min )

What if you could build production-ready container images for your Python projects without installing Docker, writing Dockerfiles, or dealing with daemon dependencies? That's the vision behind pycontainer-build — a native, Docker-free container image builder for Python. Today, containerizing Python applications typically requires: Installing Docker Desktop or Docker Engine — Not always possible in locked-down corporate environments, cloud IDEs like GitHub Codespaces, or CI/CD runners Writing and maintaining Dockerfiles — Boilerplate, multi-stage builds, and keeping base images updated Understanding Docker-specific concepts — Layers, build contexts, caching strategies Docker-in-Docker in CI — Complex and fragile setups with privileged containers These friction points slow down developer onb…  ( 10 min )

Animations are often treated as an optional enhancement in mobile apps. Many developers open a Figma file, inspect layout spacing, apply colors, build screens, and move on — without ever thinking about motion. But animations are not decoration. They are communication. They guide attention, improve perceived performance, and make the UI feel natural. Without them, interfaces feel abrupt and lifeless. There are multiple animation libraries in the React Native ecosystem — the built-in Animated API, Moti, LayoutAnimation, and Reanimated. Each works differently and serves different use cases, but in this guide, we’ll focus specifically on the Reanimated library. Animations improve the UX in four major ways: They explain UI changes They reduce perceived waiting time They make transitions smoot…  ( 9 min )

What happens when the perfect prompt is achieved, but the desired outcome is still suboptimal due to biases in the data used to train the AI model? Does this signify the need for a new paradigm in AI development, one that prioritizes data curation over prompt engineering? Publicado automáticamente  ( 6 min )

You’ve probably lived this sprint-from-hell before. Product wants “self-serve revenue dashboards.” Sales wants “real-time MRR.” Finance wants “clean numbers by Monday.” You, naturally, get the request at 4:45 p.m. on Friday… and somehow it always ends with yet another CSV export from your app and a forest of spreadsheets on someone’s shared drive. The irony: your product already emits almost everything finance needs. It’s just trapped in logs, databases, and SaaS tools that were never designed to be a single source of truth. This post is about fixing that from the engineering side. Not by becoming an accountant, but by treating finance as another downstream consumer of your event stream—and wiring your app into the finance stack in a way that’s repeatable, testable, and boring enough to tr…  ( 11 min )